Triple

T6126667
Position Surface form Disambiguated ID Type / Status
Subject Big Eyes E136611 entity
Predicate editor P1954 FINISHED
Object JC Bond
JC Bond is a film editor known for working on the movie "Big Eyes."
 E572776 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: JC Bond | Statement: [Big Eyes, editor, JC Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JC Bond
Context triple: [Big Eyes, editor, JC Bond]
  • A. James Bond
    James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
  • B. Q (James Bond)
    Q is the fictional head of Q Branch in the James Bond series, known for equipping 007 with advanced gadgets and technology.
  • C. James Bond (film)
    James Bond (film) is a long-running British spy film series centered on the adventures of MI6 agent 007, adapted from Ian Fleming’s novels and known for its action, gadgets, and iconic lead character.
  • D. Alec Leamas
    Alec Leamas is a jaded British intelligence officer whose morally complex mission at the height of the Cold War drives the plot of John le Carré’s novel "The Spy Who Came in from the Cold."
  • E. Le Chiffre
    Le Chiffre is a notorious villain in the James Bond universe, best known as the primary antagonist and high-stakes gambler in Ian Fleming’s novel and its film adaptations.
  • 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: JC Bond
Triple: [Big Eyes, editor, JC Bond]
Generated description
JC Bond is a film editor known for working on the movie "Big Eyes."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JC Bond
Target entity description: JC Bond is a film editor known for working on the movie "Big Eyes."
  • A. James Bond
    James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
  • B. Q (James Bond)
    Q is the fictional head of Q Branch in the James Bond series, known for equipping 007 with advanced gadgets and technology.
  • C. James Bond (film)
    James Bond (film) is a long-running British spy film series centered on the adventures of MI6 agent 007, adapted from Ian Fleming’s novels and known for its action, gadgets, and iconic lead character.
  • D. Alec Leamas
    Alec Leamas is a jaded British intelligence officer whose morally complex mission at the height of the Cold War drives the plot of John le Carré’s novel "The Spy Who Came in from the Cold."
  • E. Le Chiffre
    Le Chiffre is a notorious villain in the James Bond universe, best known as the primary antagonist and high-stakes gambler in Ian Fleming’s novel and its film adaptations.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2a13a48190b80e11d58fc87c8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1416a4dd481908f1336fbd02c7af8 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c1470b2cc08190b933acd0855ca0ef completed March 23, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_69c1477308988190a49f830a4473c775 completed March 23, 2026, 2 p.m.
Created at: March 22, 2026, 4:15 p.m.