Triple

T20004420
Position Surface form Disambiguated ID Type / Status
Subject Bel Powley E494413 entity
Predicate givenName P17 FINISHED
Object Bel NE NERFINISHED

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: Bel | Statement: [Bel Powley, givenName, Bel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bel
Context triple: [Bel Powley, givenName, Bel]
  • A. Bel chosen
    Bel is a major Mesopotamian god, often identified with Marduk, revered as a supreme deity and lord of the heavens and earth in Babylonian religion.
  • B. Bal
    Bal is the given name of Bal Gangadhar Tilak, a prominent Indian nationalist leader and social reformer of the late 19th and early 20th centuries.
  • C. Ber
    Ber is a traditional Yiddish given name, often associated with Ashkenazi Jewish men and sometimes used as a counterpart to the Hebrew name Dov.
  • D. BEL
    BEL is the IATA airport code for the main airport serving Belém in the state of Pará, Brazil.
  • E. BEL
    BEL is the ICAO airline designator used to identify Brussels Airlines in international aviation operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a46c748190a141ab5aac6ea250 completed April 20, 2026, 5:25 p.m.
Created at: April 11, 2026, 3:33 p.m.