Triple

T14728436
Position Surface form Disambiguated ID Type / Status
Subject Marcella Araica E346004 entity
Predicate hasWorkedWith P9615 FINISHED
Object Pink E75990 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: Pink | Statement: [Marcella Araica, hasWorkedWith, Pink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pink
Context triple: [Marcella Araica, hasWorkedWith, Pink]
  • A. Pink
    Pink is a light, reddish color often associated with softness, romance, and playfulness.
  • B. Pink chosen
    Pink is an American pop-rock singer and songwriter known for her powerful vocals, acrobatic live performances, and hits such as "Just Give Me a Reason" and "So What."
  • C. Pinks
    Pinks is a programming language or framework associated with the SPEED project, recognized for its role in performance-oriented software development.
  • D. PINK
    PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
  • E. Blank
    Blank is the surname of Arthur Blank, the American businessman and co-founder of The Home Depot and owner of the Atlanta Falcons.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26179688190ba9f3cd045da0e2a completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09b1ff08190a8f88fa34d1656fb completed May 8, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:29 a.m.