Triple

T2523151
Position Surface form Disambiguated ID Type / Status
Subject Gil E55570 entity
Predicate hasVariant P455 FINISHED
Object Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
E285625 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: Gilles | Statement: [Gil, hasVariant, Gilles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilles
Context triple: [Gil, hasVariant, Gilles]
  • A. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • B. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • C. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • D. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • E. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • 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: Gilles
Triple: [Gil, hasVariant, Gilles]
Generated description
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gilles
Target entity description: Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
  • A. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • B. Blaise
    The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
  • C. Blaise
    Blaise is a given name most famously borne by the French mathematician, physicist, and philosopher Blaise Pascal.
  • D. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • E. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98a8887c8190bd00eaf48bc77781 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99e3e4bc819080ac8a379592c6d2 completed March 10, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_69af9a3716e08190a559684dbc7df774 completed March 10, 2026, 4:12 a.m.
Created at: March 6, 2026, 9:46 p.m.