Triple

T1246424
Position Surface form Disambiguated ID Type / Status
Subject Louis Gossett Jr. E26774 entity
Predicate hasChild P369 FINISHED
Object Satie Gossett
Satie Gossett is an American filmmaker and the son of Academy Award–winning actor Louis Gossett Jr.
E162459 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: Satie Gossett | Statement: [Louis Gossett Jr., hasChild, Satie Gossett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satie Gossett
Context triple: [Louis Gossett Jr., hasChild, Satie Gossett]
  • A. Marie De Forest
    Marie De Forest, better known as Marie Mosquini, was an American silent film actress who frequently appeared in Hal Roach comedies during the 1910s and 1920s.
  • B. Jean Speegle Howard
    Jean Speegle Howard was an American character actress known for her work in film and television and as the mother of filmmaker Ron Howard.
  • C. Marion Bessay
    Marion Bessay is a screenwriter known for her work on the film "Only Lovers Left Alive."
  • D. Della Viola Forker
    Della Viola Forker was the wife of American automotive industry pioneer and Chrysler Corporation founder Walter Chrysler.
  • E. Lucile Rosson
    Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
  • 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: Satie Gossett
Triple: [Louis Gossett Jr., hasChild, Satie Gossett]
Generated description
Satie Gossett is an American filmmaker and the son of Academy Award–winning actor Louis Gossett Jr.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Satie Gossett
Target entity description: Satie Gossett is an American filmmaker and the son of Academy Award–winning actor Louis Gossett Jr.
  • A. Marie De Forest
    Marie De Forest, better known as Marie Mosquini, was an American silent film actress who frequently appeared in Hal Roach comedies during the 1910s and 1920s.
  • B. Jean Speegle Howard
    Jean Speegle Howard was an American character actress known for her work in film and television and as the mother of filmmaker Ron Howard.
  • C. Marion Bessay
    Marion Bessay is a screenwriter known for her work on the film "Only Lovers Left Alive."
  • D. Della Viola Forker
    Della Viola Forker was the wife of American automotive industry pioneer and Chrysler Corporation founder Walter Chrysler.
  • E. Lucile Rosson
    Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf65c41c8190b4c65e015d1264c0 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5581ccc81909c9c234e4b61205a completed March 8, 2026, 2:56 a.m.
NEDg Description generation batch_69ace5fb515081908acadef0303b8f6e completed March 8, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69ace9ba4b3481908d03636d8f72d04c completed March 8, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:47 p.m.