Triple

T5235013
Position Surface form Disambiguated ID Type / Status
Subject Jeannot Szwarc E118200 entity
Predicate givenName P17 FINISHED
Object Jeannot
Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
 E505380 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: Jeannot | Statement: [Jeannot Szwarc, givenName, Jeannot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeannot
Context triple: [Jeannot Szwarc, givenName, Jeannot]
  • A. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • B. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • C. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • D. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • E. Laurent
    Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
  • 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: Jeannot
Triple: [Jeannot Szwarc, givenName, Jeannot]
Generated description
Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeannot
Target entity description: Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
  • A. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • B. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • C. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • D. Laurent
    Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
  • E. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b064b6881909f5746f55aa422c6 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef81cca948190ab00302787367f43 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69befa15850481908fd414672620e0a3 completed March 21, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69befa65a42c81908b8fe5661e9567cb completed March 21, 2026, 8:07 p.m.
Created at: March 20, 2026, 1:49 p.m.