Triple

T3731114
Position Surface form Disambiguated ID Type / Status
Subject Chip Kelly E79064 entity
Predicate nickname P55 FINISHED
Object Chip E173094 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: Chip | Statement: [Chip Kelly, nickname, Chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chip
Context triple: [Chip Kelly, nickname, Chip]
  • A. Chip chosen
    Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
  • B. CHIP
    CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
  • C. Pixel
    Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
  • D. Chipper
    Chipper is the nickname of Hall of Fame Major League Baseball third baseman Larry "Chipper" Jones, best known for his long career with the Atlanta Braves.
  • E. Kit
    Kit is a personal name commonly used as a given name or nickname for individuals of any gender.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb21002c81908438170ed6f6c271 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db167c5881909772cf1e78717995 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:34 p.m.