Triple

T1797719
Position Surface form Disambiguated ID Type / Status
Subject Marcel Duchamp E39642 entity
Predicate givenName P17 FINISHED
Object Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
 E201405 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: Marcel | Statement: [Marcel Duchamp, givenName, Marcel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marcel
Context triple: [Marcel Duchamp, givenName, Marcel]
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • C. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. 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."
  • 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: Marcel
Triple: [Marcel Duchamp, givenName, Marcel]
Generated description
Marcel is a masculine given name of French origin, commonly used in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marcel
Target entity description: Marcel is a masculine given name of French origin, commonly used in various European countries.
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • C. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. 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."
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6566cd808190a67f33ad47d8ca8e completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d6cee88190b26814134037aba6 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b626688190b4953d4549339dea completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9253fa08190bfb7d245208150c0 completed March 8, 2026, 6 p.m.
Created at: March 4, 2026, 7:32 p.m.