Triple

T13127474
Position Surface form Disambiguated ID Type / Status
Subject Gérard Brach E311880 entity
Predicate notableWork P4 FINISHED
Object Mado
Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
E1023179 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: Mado | Statement: [Gérard Brach, notableWork, Mado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mado
Context triple: [Gérard Brach, notableWork, Mado]
  • A. Maiwa
    Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
  • B. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • C. Maho
    Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
  • D. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • E. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • 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: Mado
Triple: [Gérard Brach, notableWork, Mado]
Generated description
Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mado
Target entity description: Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
  • A. Maiwa
    Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
  • B. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • C. Maho
    Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
  • D. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • E. Gomeisa
    Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28e922881909584296adc95d9b4 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e6d4aedc819090e6433600db4b31 completed May 3, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6e79e40bc8190bcf72d719d4e88dd completed May 3, 2026, 6:13 a.m.
Created at: April 9, 2026, 9:07 p.m.