Triple

T3067919
Position Surface form Disambiguated ID Type / Status
Subject 127 Hours E62150 entity
Predicate starring P1507 FINISHED
Object Treat Williams
Treat Williams was an American actor known for his versatile performances in film, television, and theater, including notable roles in works like "Hair," "Prince of the City," and the TV series "Everwood."
 E322049 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: Treat Williams | Statement: [127 Hours, starring, Treat Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Treat Williams
Context triple: [127 Hours, starring, Treat Williams]
  • A. Danny Williams
    Danny Williams was a British pop singer best known for his 1961 hit rendition of "Moon River."
  • B. Jerry Williams Jr.
    Jerry Williams Jr. was an American soul and R&B singer, songwriter, and producer, better known by his stage name Swamp Dogg.
  • C. Mark Williams
    Mark Williams is a Christian songwriter known for co-writing the contemporary worship song "Lord I Need You."
  • D. Mark Williams
    Mark Williams is a British actor best known for playing Arthur Weasley in the Harry Potter film series.
  • E. Jonathan Williams
    Jonathan Williams was an American poet, publisher, and founder of the Jargon Society, closely associated with the experimental Black Mountain poetry movement.
  • 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: Treat Williams
Triple: [127 Hours, starring, Treat Williams]
Generated description
Treat Williams was an American actor known for his versatile performances in film, television, and theater, including notable roles in works like "Hair," "Prince of the City," and the TV series "Everwood."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Treat Williams
Target entity description: Treat Williams was an American actor known for his versatile performances in film, television, and theater, including notable roles in works like "Hair," "Prince of the City," and the TV series "Everwood."
  • A. Danny Williams
    Danny Williams was a British pop singer best known for his 1961 hit rendition of "Moon River."
  • B. Jerry Williams Jr.
    Jerry Williams Jr. was an American soul and R&B singer, songwriter, and producer, better known by his stage name Swamp Dogg.
  • C. Mark Williams
    Mark Williams is a Christian songwriter known for co-writing the contemporary worship song "Lord I Need You."
  • D. Mark Williams
    Mark Williams is a British actor best known for playing Arthur Weasley in the Harry Potter film series.
  • E. Jonathan Williams
    Jonathan Williams was an American poet, publisher, and founder of the Jargon Society, closely associated with the experimental Black Mountain poetry movement.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1972e08190942a068c0c563e52 completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:02 p.m.