Triple

T23283767
Position Surface form Disambiguated ID Type / Status
Subject Caesars Entertainment, Inc. E588934 entity
Predicate hasBrand P1500 FINISHED
Object Harrah's NE NERFINISHED

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: Harrah's | Statement: [Caesars Entertainment, Inc., hasBrand, Harrah's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrah's
Context triple: [Caesars Entertainment, Inc., hasBrand, Harrah's]
  • A. Harrah
    Harrah is a small city in central Oklahoma known for its suburban-rural character and proximity to Oklahoma City.
  • B. Harrah's Las Vegas chosen
    Harrah's Las Vegas is a casino hotel and entertainment resort located on the Las Vegas Strip, known for its lively atmosphere, gaming, and shows.
  • C. Harrah's Chester
    Harrah's Chester was the original name of the Harrah's Philadelphia Casino & Racetrack, a gambling and harness racing facility located near Philadelphia, Pennsylvania.
  • D. Boyd Gaming
    Boyd Gaming is a major American gaming and hospitality company that owns and operates numerous casinos, hotels, and entertainment properties across the United States.
  • E. Caesars Entertainment
    Caesars Entertainment is a major American gaming and hospitality company that owns and operates numerous casinos, hotels, and resorts across the United States and internationally.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196454b4c8190a797537ce8912241 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:58 p.m.