Triple

T8874111
Position Surface form Disambiguated ID Type / Status
Subject Sy Gomberg E211225 entity
Predicate givenName P17 FINISHED
Object Sy
Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
E763188 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: Sy | Statement: [Sy Gomberg, givenName, Sy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sy
Context triple: [Sy Gomberg, givenName, Sy]
  • A. Sy
    Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
  • B. SY
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • C. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • D. YS
    YS is the common abbreviation for the Tokyo Yakult Swallows, a professional baseball team in Japan’s Nippon Professional Baseball league.
  • E. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • 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: Sy
Triple: [Sy Gomberg, givenName, Sy]
Generated description
Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sy
Target entity description: Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
  • A. Sy
    Sy is a Diameter-based interface in telecommunications networks used for policy and charging control between the PCRF and online charging systems.
  • B. SY
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • C. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • D. YS
    YS is the common abbreviation for the Tokyo Yakult Swallows, a professional baseball team in Japan’s Nippon Professional Baseball league.
  • E. Su
    Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614451d081908804430a72d00edf completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f9714c8190909587eecbb10e1a completed April 3, 2026, 11:14 a.m.
NEDg Description generation batch_69cfa180c9048190b59e6b8437886ac9 completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.