Triple

T3514873
Position Surface form Disambiguated ID Type / Status
Subject Woman of the Year E74281 entity
Predicate starring P1507 FINISHED
Object Minor Watson
Minor Watson was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
 E365509 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: Minor Watson | Statement: [Woman of the Year, starring, Minor Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minor Watson
Context triple: [Woman of the Year, starring, Minor Watson]
  • A. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • B. Jem
    Jem is a common diminutive or nickname for the given name James.
  • C. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • D. Leroy
    Leroy is the birth name of Eldridge Cleaver, a prominent American writer, political activist, and early leader of the Black Panther Party.
  • E. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • 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: Minor Watson
Triple: [Woman of the Year, starring, Minor Watson]
Generated description
Minor Watson was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Minor Watson
Target entity description: Minor Watson was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
  • A. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • B. Jem
    Jem is a common diminutive or nickname for the given name James.
  • C. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • D. Leroy
    Leroy is the birth name of Eldridge Cleaver, a prominent American writer, political activist, and early leader of the Black Panther Party.
  • E. Wilbert
    Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2efa4c8190ac1ca221f3f0eba4 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7a5ab08190971c9dfd6550eb2d completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37ff7b1c8819085b16ea9eb9175eb completed March 13, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_69b3808903e481908d312766e126204f completed March 13, 2026, 3:12 a.m.
Created at: March 8, 2026, 3:19 p.m.