Triple

T1182172
Position Surface form Disambiguated ID Type / Status
Subject Louis Calhern E25161 entity
Predicate spouse P13 FINISHED
Object Marianne Stewart
Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
E171666 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: Marianne Stewart | Statement: [Louis Calhern, spouse, Marianne Stewart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Stewart
Context triple: [Louis Calhern, spouse, Marianne Stewart]
  • A. Esti Maxine Stephens
    Esti Maxine Stephens is the daughter of model and television personality Chrissy Teigen and musician John Legend.
  • B. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • C. Candy Clark
    Candy Clark is an American actress best known for her Academy Award–nominated role in the coming-of-age film "American Graffiti."
  • D. Eboni Mills
    Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
  • E. Brenda Leigh Johnson
    Brenda Leigh Johnson is the sharp, determined Deputy Chief of the LAPD’s Major Crimes Division in the TV series "The Closer," known for her exceptional interrogation skills and unorthodox but effective investigative methods.
  • 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: Marianne Stewart
Triple: [Louis Calhern, spouse, Marianne Stewart]
Generated description
Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marianne Stewart
Target entity description: Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
  • A. Esti Maxine Stephens
    Esti Maxine Stephens is the daughter of model and television personality Chrissy Teigen and musician John Legend.
  • B. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • C. Candy Clark
    Candy Clark is an American actress best known for her Academy Award–nominated role in the coming-of-age film "American Graffiti."
  • D. Eboni Mills
    Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
  • E. Brenda Leigh Johnson
    Brenda Leigh Johnson is the sharp, determined Deputy Chief of the LAPD’s Major Crimes Division in the TV series "The Closer," known for her exceptional interrogation skills and unorthodox but effective investigative methods.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd347d4481909e9094463011289d completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231945048190be6536b4a71334aa completed March 8, 2026, 7:19 a.m.
NEDg Description generation batch_69ad23cbe87c81909b745ecaadf77bce completed March 8, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69ad24224af08190a1a03c0f1d363ce0 completed March 8, 2026, 7:24 a.m.
Created at: March 1, 2026, 7:45 p.m.