Triple

T7067662
Position Surface form Disambiguated ID Type / Status
Subject Clash of the Titans (2010 film) E164598 entity
Predicate editedBy P1954 FINISHED
Object Vincent Tabaillon
Vincent Tabaillon is a French film editor known for his work on major action and visual effects-driven films, including the 2010 remake of Clash of the Titans.
E689532 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: Vincent Tabaillon | Statement: [Clash of the Titans (2010 film), editedBy, Vincent Tabaillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent Tabaillon
Context triple: [Clash of the Titans (2010 film), editedBy, Vincent Tabaillon]
  • A. Vincent Delerm
    Vincent Delerm is a French singer-songwriter and pianist known for his literate, introspective chansons and theatrical pop arrangements.
  • B. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • C. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • D. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • E. Michel Bouvier
    Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
  • 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: Vincent Tabaillon
Triple: [Clash of the Titans (2010 film), editedBy, Vincent Tabaillon]
Generated description
Vincent Tabaillon is a French film editor known for his work on major action and visual effects-driven films, including the 2010 remake of Clash of the Titans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vincent Tabaillon
Target entity description: Vincent Tabaillon is a French film editor known for his work on major action and visual effects-driven films, including the 2010 remake of Clash of the Titans.
  • A. Vincent Delerm
    Vincent Delerm is a French singer-songwriter and pianist known for his literate, introspective chansons and theatrical pop arrangements.
  • B. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • C. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • D. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • E. Michel Bouvier
    Michel Bouvier is a biochemist and entrepreneur known for his pioneering work on G protein–coupled receptors (GPCRs) and for co-founding innovative drug discovery companies.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a737dc8190add7f0228cb28111 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c90092f9ac8190a53d65cfdeafca29 completed March 29, 2026, 10:36 a.m.
NEDg Description generation batch_69c90148db348190907233b354894098 completed March 29, 2026, 10:39 a.m.
NED2 Entity disambiguation (via description) batch_69c901aab3988190ab72bee1ea8f7e3c completed March 29, 2026, 10:40 a.m.
Created at: March 27, 2026, 2:39 p.m.