Triple

T8291587
Position Surface form Disambiguated ID Type / Status
Subject No Time for Love E193908 entity
Predicate castMember P1668 FINISHED
Object William Forrest
William Forrest was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
E723488 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: William Forrest | Statement: [No Time for Love, castMember, William Forrest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Forrest
Context triple: [No Time for Love, castMember, William Forrest]
  • A. Robert Forrest
    Robert Forrest is the husband of acclaimed American actress Gena Rowlands.
  • B. Broderick Fobbs
    Broderick Fobbs is an American football coach best known for revitalizing Grambling State University's football program and leading the Tigers to multiple conference championships.
  • C. Blackford Oakes
    Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
  • D. Wesley Kilmer
    Wesley Kilmer is a sibling of American actor Val Kilmer, known primarily in relation to his more famous brother.
  • E. Alexander Hays
    Alexander Hays was a Union Army general during the American Civil War, noted for his leadership and bravery in key battles such as Gettysburg.
  • 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: William Forrest
Triple: [No Time for Love, castMember, William Forrest]
Generated description
William Forrest was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Forrest
Target entity description: William Forrest was an American character actor known for his numerous supporting roles in mid-20th-century films and television.
  • A. Robert Forrest
    Robert Forrest is the husband of acclaimed American actress Gena Rowlands.
  • B. Broderick Fobbs
    Broderick Fobbs is an American football coach best known for revitalizing Grambling State University's football program and leading the Tigers to multiple conference championships.
  • C. Blackford Oakes
    Blackford Oakes is a fictional American CIA agent and Cold War spy created by William F. Buckley Jr.
  • D. Wesley Kilmer
    Wesley Kilmer is a sibling of American actor Val Kilmer, known primarily in relation to his more famous brother.
  • E. Alexander Hays
    Alexander Hays was a Union Army general during the American Civil War, noted for his leadership and bravery in key battles such as Gettysburg.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9ccbfc81908825685c23b80d23 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68916c5481908c42f259298b0670 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.