Triple

T9734190
Position Surface form Disambiguated ID Type / Status
Subject Elmer Rice E236015 entity
Predicate givenName P17 FINISHED
Object Elmer E442214 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: Elmer | Statement: [Elmer Rice, givenName, Elmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmer
Context triple: [Elmer Rice, givenName, Elmer]
  • A. Elmer chosen
    Elmer is a masculine given name of Germanic origin that has been borne by various notable figures, including athletes, politicians, and fictional characters.
  • B. Elmer Winter
    Elmer Winter was an American lawyer and entrepreneur best known as the co-founder of Manpower Inc., one of the world’s largest staffing and workforce solutions companies.
  • C. Willi
    Willi is a given name, typically a variant of Willy or William, used in various European countries.
  • D. Rolly
    Rolly is a diminutive form of the given name Roland, often used as a familiar or affectionate nickname.
  • E. Taz
    Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eebcec08190a9d4606fd26f2e19 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afc4dcc4819096d29c1a0529d272 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.