Triple

T4288812
Position Surface form Disambiguated ID Type / Status
Subject John A. Lejeune E97336 entity
Predicate middleName P143 FINISHED
Object Archer E339442 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: [John A. Lejeune, middleName, Archer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archer
Context triple: [John A. Lejeune, middleName, Archer]
  • A. Archer
    Archer is an animated adult comedy series known for its irreverent spy-themed humor and distinctive visual style, airing on the FX network.
  • B. Archer chosen
    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.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35060b70081908479c95b2afe8ec5 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7307e3481909dfb55018f359589 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.