Triple

T8858533
Position Surface form Disambiguated ID Type / Status
Subject Frank Carney E210823 entity
Predicate associatedWith P37 FINISHED
Object global restaurant chain Pizza Hut E23468 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: global restaurant chain Pizza Hut | Statement: [Frank Carney, associatedWith, global restaurant chain Pizza Hut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: global restaurant chain Pizza Hut
Context triple: [Frank Carney, associatedWith, global restaurant chain Pizza Hut]
  • A. Pizza Hut chosen
    Pizza Hut is a global American restaurant chain known for its pizza, pasta, and other Italian-American dishes, operating thousands of locations worldwide.
  • B. Pizza Express (restaurant)
    Pizza Express is a popular UK-based restaurant chain known for its casual dining atmosphere and Italian-style pizzas.
  • C. Papa Johns
    Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
  • D. Little Caesars
    Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
  • E. Pizza Hut Park
    Pizza Hut Park, now known as Toyota Stadium, is a soccer-specific stadium in Frisco, Texas that hosts professional matches and major tournaments.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e536648190ba8da1375478c24f completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0b1b86481909ec0b78de043d8f8 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:50 p.m.