Triple

T5022747
Position Surface form Disambiguated ID Type / Status
Subject Daniel Gerson E112894 entity
Predicate familyName P18 FINISHED
Object Gerson
Gerson is a surname most notably associated with American screenwriter Daniel Gerson, known for co-writing several popular animated films.
E486863 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: Gerson | Statement: [Daniel Gerson, familyName, Gerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerson
Context triple: [Daniel Gerson, familyName, Gerson]
  • A. Gérson
    Gérson is a legendary Brazilian midfielder renowned for orchestrating play in Brazil’s iconic 1970 FIFA World Cup–winning team.
  • B. Gerenia
    Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
  • C. Gershon
    Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
  • D. Gershon
    Gershon is a biblical figure traditionally regarded as one of the sons of Levi and an ancestor of the Gershonite clan of Levites.
  • E. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • 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: Gerson
Triple: [Daniel Gerson, familyName, Gerson]
Generated description
Gerson is a surname most notably associated with American screenwriter Daniel Gerson, known for co-writing several popular animated films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gerson
Target entity description: Gerson is a surname most notably associated with American screenwriter Daniel Gerson, known for co-writing several popular animated films.
  • A. Gérson
    Gérson is a legendary Brazilian midfielder renowned for orchestrating play in Brazil’s iconic 1970 FIFA World Cup–winning team.
  • B. Gerenia
    Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
  • C. Gershon
    Gershon is the surname of American actress Gina Gershon, known for her roles in films like "Showgirls" and "Bound."
  • D. Gershon
    Gershon is a biblical figure traditionally regarded as one of the sons of Levi and an ancestor of the Gershonite clan of Levites.
  • E. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73670578819099a56112950708a8 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9282e2b08190abfa2c3e450957d4 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be94965c4c8190b91be72f483d4b29 completed March 21, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69be9527906481909d6a42a262a67c31 completed March 21, 2026, 12:55 p.m.
Created at: March 20, 2026, 1:36 p.m.