Triple

T11909561
Position Surface form Disambiguated ID Type / Status
Subject Frank Pick E283357 entity
Predicate familyName P18 FINISHED
Object Pick E528809 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: Pick | Statement: [Frank Pick, familyName, Pick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pick
Context triple: [Frank Pick, familyName, Pick]
  • A. Pick chosen
    Pick is a surname most notably associated with Israeli singer and composer Svika Pick and his family, including his daughter Daniella Pick.
  • B. Pickins
    Pickins is a surname and given name of English origin, occasionally used for people and fictional characters.
  • C. Picken
    Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
  • D. Pickup
    "Pickup" is a country-pop single by Canadian singer-songwriter MacKenzie Porter that helped raise her profile in contemporary country music.
  • E. Choix
    Choix is a municipality and town located in the northern part of the Mexican state of Sinaloa, known for its mountainous terrain and proximity to the Sierra Madre Occidental.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.