Triple

T3211541
Position Surface form Disambiguated ID Type / Status
Subject Dana Delany E67291 entity
Predicate employer P7 FINISHED
Object ABC E3937 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: ABC | Statement: [Dana Delany, employer, ABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC
Context triple: [Dana Delany, employer, ABC]
  • A. ABC chosen
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • B. ABC
    ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
  • C. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • D. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • E. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaaba224c8190ad2f4e0ed1c2ca4a completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2621d3bcc8190abf84310bc118757 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.