Triple

T19973988
Position Surface form Disambiguated ID Type / Status
Subject Luc Hoffmann E493639 entity
Predicate givenName P17 FINISHED
Object Luc
Luc is a masculine given name of Latin origin, commonly used in French-speaking countries as a form of "Luke."
 E216416 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: Luc | Statement: [Luc Hoffmann, givenName, Luc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luc
Context triple: [Luc Hoffmann, givenName, Luc]
  • A. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • B. Lou
    Lou is a supporting character in the romantic drama film "Stuck in Love," involved in the intertwined relationships and personal struggles of a family of writers.
  • C. Lou
    Lou is the central canine hero of the animated film "Cats & Dogs," leading the fight to protect humanity from a secret feline plot.
  • D. Lou
    Lou is a character in the television miniseries "The Continental: From the World of John Wick," set in the action-packed criminal underworld of the John Wick franchise.
  • E. Lou
    Lou is a character in the crime thriller film "Deadfall," involved in the movie’s tense, violent family-centered plot.
  • 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: Luc
Triple: [Luc Hoffmann, givenName, Luc]
Generated description
Luc is a masculine given name of Latin origin, commonly used in French-speaking countries as a form of "Luke."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luc
Target entity description: Luc is a masculine given name of Latin origin, commonly used in French-speaking countries as a form of "Luke."
  • A. Luc chosen
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • B. Lou
    Lou is a supporting character in the romantic drama film "Stuck in Love," involved in the intertwined relationships and personal struggles of a family of writers.
  • C. Lou
    Lou is the central canine hero of the animated film "Cats & Dogs," leading the fight to protect humanity from a secret feline plot.
  • D. Lou
    Lou is a character in the television miniseries "The Continental: From the World of John Wick," set in the action-packed criminal underworld of the John Wick franchise.
  • E. Lou
    Lou is a character in the crime thriller film "Deadfall," involved in the movie’s tense, violent family-centered plot.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65bcb72048190aedb4f085ace0493 completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdd7a0d08190b85dcc29c28eb7bd completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07feb28eec81908a8e33a706cf9d9b completed May 16, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff2e34608190a27995f6400c153a completed May 16, 2026, 5:22 a.m.
Created at: April 11, 2026, 3:23 p.m.