Triple

T1771156
Position Surface form Disambiguated ID Type / Status
Subject Sabotage E38876 entity
Predicate starring P1507 FINISHED
Object Joe Manganiello
Joe Manganiello is an American actor known for roles in projects like "True Blood," "Magic Mike," and various action films.
E213377 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: Joe Manganiello | Statement: [Sabotage, starring, Joe Manganiello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Manganiello
Context triple: [Sabotage, starring, Joe Manganiello]
  • A. Matt Bomer
    Matt Bomer is an American actor known for his roles in the TV series "White Collar" and films such as "Magic Mike" and "The Normal Heart."
  • B. Luke Evans
    Luke Evans is a Welsh actor and singer known for his roles in films such as "The Hobbit" trilogy, "Dracula Untold," and various high-profile Hollywood productions.
  • C. Eric Palicki
    Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
  • D. Jerry O’Connell
    Jerry O’Connell is an American actor and television host known for roles in films like "Stand by Me" and series such as "Sliders" and "Crossing Jordan."
  • E. Brad Fuller
    Brad Fuller is a film editor known for his work on the documentary "He Named Me Malala."
  • 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: Joe Manganiello
Triple: [Sabotage, starring, Joe Manganiello]
Generated description
Joe Manganiello is an American actor known for roles in projects like "True Blood," "Magic Mike," and various action films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Manganiello
Target entity description: Joe Manganiello is an American actor known for roles in projects like "True Blood," "Magic Mike," and various action films.
  • A. Matt Bomer
    Matt Bomer is an American actor known for his roles in the TV series "White Collar" and films such as "Magic Mike" and "The Normal Heart."
  • B. Luke Evans
    Luke Evans is a Welsh actor and singer known for his roles in films such as "The Hobbit" trilogy, "Dracula Untold," and various high-profile Hollywood productions.
  • C. Eric Palicki
    Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
  • D. Jerry O’Connell
    Jerry O’Connell is an American actor and television host known for roles in films like "Stand by Me" and series such as "Sliders" and "Crossing Jordan."
  • E. Brad Fuller
    Brad Fuller is a film editor known for his work on the documentary "He Named Me Malala."
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648fe908819098fd27b74b17fabb completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaceae088190a5ee93e6b46360cc completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb8a0a64819087e4505089e93093 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec6fcaac8190b43d0cd1aa613c95 completed March 8, 2026, 9:38 p.m.
Created at: March 4, 2026, 7:31 p.m.