Triple

T4497893
Position Surface form Disambiguated ID Type / Status
Subject Jessica Walter E100743 entity
Predicate notableWork P4 FINISHED
Object Archer E345559 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: Archer | Statement: [Jessica Walter, notableWork, Archer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archer
Context triple: [Jessica Walter, notableWork, Archer]
  • A. Archer
    Archer is an English occupational surname historically given to bowmen and now borne by various notable individuals across fields such as music, politics, and sports.
  • B. Archer chosen
    Archer is an animated adult comedy series known for its irreverent spy-themed humor and distinctive visual style, airing on the FX network.
  • C. Archer Clive
    Archer Clive was a 19th-century English lawyer and writer, best known in literary history as the husband of novelist and poet Caroline Clive.
  • D. Flecher
    Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
  • E. Arrow
    Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c065e88190934eb0b1632d79bb completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c7da888190a60bd738e53156ed completed March 20, 2026, 3:29 p.m.
Created at: March 20, 2026, 1 p.m.