Triple

T13594898
Position Surface form Disambiguated ID Type / Status
Subject Winnie Gekko E324791 entity
Predicate spouse P13 FINISHED
Object Jake Moore
Jake Moore is a fictional Wall Street trader and the younger fiancé of Gordon Gekko’s daughter Winnie in the film "Wall Street: Money Never Sleeps."
 E324793 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: Jake Moore | Statement: [Winnie Gekko, spouse, Jake Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jake Moore
Context triple: [Winnie Gekko, spouse, Jake Moore]
  • A. Jacob Moore
    Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
  • B. Sean Moore
    Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
  • C. Kyle Moats
    Kyle Moats is an American college athletics administrator who serves as the athletic director at Missouri State University, overseeing its sports programs including the men's basketball team.
  • D. Evan Moore
    Evan Moore is an entrepreneur best known as one of the co-founders of the food delivery platform DoorDash.
  • E. Matthew Moore
    Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
  • 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: Jake Moore
Triple: [Winnie Gekko, spouse, Jake Moore]
Generated description
Jake Moore is a fictional Wall Street trader and the younger fiancé of Gordon Gekko’s daughter Winnie in the film "Wall Street: Money Never Sleeps."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jake Moore
Target entity description: Jake Moore is a fictional Wall Street trader and the younger fiancé of Gordon Gekko’s daughter Winnie in the film "Wall Street: Money Never Sleeps."
  • A. Jacob Moore chosen
    Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
  • B. Sean Moore
    Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
  • C. Kyle Moats
    Kyle Moats is an American college athletics administrator who serves as the athletic director at Missouri State University, overseeing its sports programs including the men's basketball team.
  • D. Evan Moore
    Evan Moore is an entrepreneur best known as one of the co-founders of the food delivery platform DoorDash.
  • E. Matthew Moore
    Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
  • F. None of above.

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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc762a08190b5d29cef9923da84 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77643b0348190962bf23a9857edbe completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.