Triple

T10354977
Position Surface form Disambiguated ID Type / Status
Subject Save the Tiger E243977 entity
Predicate starring P1507 FINISHED
Object Laurie Heineman
Laurie Heineman is an American actress best known for her work in film, television, and theater, including a notable role in the drama "Save the Tiger."
E901771 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Laurie Heineman | Statement: [Save the Tiger, starring, Laurie Heineman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurie Heineman
Context triple: [Save the Tiger, starring, Laurie Heineman]
  • A. Laura Rister
    Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
  • B. Laurie Schaub
    Laurie Schaub is the wife of former NFL quarterback Matt Schaub and is known for her involvement in charitable and community activities alongside her husband.
  • C. Amy Eshleman
    Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
  • D. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • E. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laurie Heineman
Triple: [Save the Tiger, starring, Laurie Heineman]
Generated description
Laurie Heineman is an American actress best known for her work in film, television, and theater, including a notable role in the drama "Save the Tiger."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laurie Heineman
Target entity description: Laurie Heineman is an American actress best known for her work in film, television, and theater, including a notable role in the drama "Save the Tiger."
  • A. Laura Rister
    Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
  • B. Laurie Schaub
    Laurie Schaub is the wife of former NFL quarterback Matt Schaub and is known for her involvement in charitable and community activities alongside her husband.
  • C. Amy Eshleman
    Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
  • D. Laura Bickford
    Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
  • E. Colleen Ahland
    Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a8c95ca081908ceaa89eef87fbc9 completed April 18, 2026, 3:52 p.m.
NEDg Description generation batch_69e3abe492388190a2f5752f6bad1220 completed April 18, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1efe4a88190884eb5186954cf39 completed April 18, 2026, 4:31 p.m.
Created at: April 6, 2026, 11:58 a.m.