Triple

T31031594
Position Surface form Disambiguated ID Type / Status
Subject Pénélope E790741 entity
Predicate hasWorkProducer P30366 FINISHED
Object Gérard Beytout
Gérard Beytout is a film producer known for his work on the French film "Pénélope."
 E1988966 NE FINISHED

How this triple was built (3 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: Gérard Beytout | Statement: [Pénélope, hasWorkProducer, Gérard Beytout]
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: Gérard Beytout
Triple: [Pénélope, hasWorkProducer, Gérard Beytout]
Generated description
Gérard Beytout is a film producer known for his work on the French film "Pénélope."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasWorkProducer
Context triple: [Pénélope, hasWorkProducer, Gérard Beytout]
  • A. hasProducer chosen
    Indicates that one entity serves as the producer or creator responsible for making or manufacturing another entity.
  • B. hasWorkCount
    Indicates the number of works (such as items, creations, or outputs) associated with a given entity.
  • C. hasWorkCreator
    Indicates that an entity is the creator or originator of a particular work (such as a document, artwork, or other creative product).
  • D. hasWorker
    Indicates that one entity employs, utilizes, or is associated with another entity in the role of a worker.
  • E. hasWorkBy
    Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
  • F. None of above.

Provenance (6 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_69f224c97a788190b5da1ead6038a74e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed4c18c2881908e496565a4354c94 completed June 14, 2026, 4:20 p.m.
NEDg Description generation batch_6a2ed5a7342c8190970ea579d519a5fe completed June 14, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed76555008190a14a24135babd7d9 completed June 14, 2026, 4:31 p.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: April 29, 2026, 8:59 p.m.