Triple

T4146567
Position Surface form Disambiguated ID Type / Status
Subject As the World Turns E89796 entity
Predicate sponsor P67 FINISHED
Object Procter & Gamble E68029 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: Procter & Gamble | Statement: [As the World Turns, sponsor, Procter & Gamble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Procter & Gamble
Context triple: [As the World Turns, sponsor, Procter & Gamble]
  • A. Procter & Gamble chosen
    Procter & Gamble is a multinational consumer goods corporation known for a wide range of household, personal care, and hygiene brands sold globally.
  • B. Colgate-Palmolive
    Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
  • C. Unilever
    Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
  • D. Kimberly-Clark Corporation
    Kimberly-Clark Corporation is a multinational personal care company best known for brands such as Kleenex, Huggies, and Scott paper products.
  • E. Reckitt Benckiser
    Reckitt Benckiser is a British multinational consumer goods company best known for its health, hygiene, and home products such as Dettol, Lysol, and Durex.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025fef088190b42515d0a854a1ae completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d5379081908300afbb3a6fe5e4 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.