Triple

T13260204
Position Surface form Disambiguated ID Type / Status
Subject Romulan E315771 entity
Predicate notableCharacter P1481 FINISHED
Object Narek E898810 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: Narek | Statement: [Romulan, notableCharacter, Narek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narek
Context triple: [Romulan, notableCharacter, Narek]
  • A. Narek chosen
    Narek is a Romulan agent and central antagonist in the television series "Star Trek: Picard."
  • B. Sasun
    Sasun is a mountainous region in the Ottoman Empire (in present-day southeastern Turkey) historically inhabited by Armenians and known for its resistance and suffering during late 19th-century anti-Armenian violence.
  • C. Yeghishe
    Yeghishe was a prominent 5th-century Armenian historian and writer best known for his classic account of the Battle of Avarayr and the Armenian struggle for religious freedom.
  • D. Ashot
    Ashot is a masculine given name of Armenian origin, historically borne by several Armenian kings and nobles.
  • E. Bash Norashen
    Bash Norashen was a historical town that served as the administrative center of the Sharur-Daralayaz uezd in the Russian Empire’s Erivan Governorate.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4612cc8190b45673a3994cee18 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.