Triple

T3018163
Position Surface form Disambiguated ID Type / Status
Subject Gorilla at Large E82387 entity
Predicate musicBy P1952 FINISHED
Object Lionel Newman E171030 NE FINISHED

How this triple was built (2 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: Lionel Newman | Statement: [Gorilla at Large, musicBy, Lionel Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel Newman
Context triple: [Gorilla at Large, musicBy, Lionel Newman]
  • A. Lionel Newman chosen
    Lionel Newman was an American composer and conductor best known for his work in film and television music, including a long association with 20th Century Fox.
  • B. Lionel Bender
    Lionel Bender was an American linguist known for his extensive research and classification work on African languages, particularly those in the Nilo-Saharan and Afroasiatic families.
  • C. Jerome Newman
    Jerome Newman was an American investor best known as the business partner of Benjamin Graham and co-founder of the influential Graham-Newman investment firm.
  • D. Henry Lewy
    Henry Lewy was a German-born American recording engineer and producer best known for his work on landmark albums by artists such as Joni Mitchell and Leonard Cohen.
  • E. Maurice Richlin
    Maurice Richlin was an American screenwriter best known for co-writing classic films such as "The Pink Panther" and "Operation Petticoat."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a90ea64819080620e60bbd6aa24 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee74390819087e48b67ed4a9f27 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3 p.m.