Triple
T8761392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Carney |
E208206
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 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: Pizza Hut | Statement: [Dan Carney, notableWork, Pizza Hut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pizza Hut Context triple: [Dan Carney, notableWork, 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.
Papa Johns
Papa Johns is a major American pizza restaurant franchise known for its delivery and carryout services worldwide.
-
C.
Little Caesars
Little Caesars is a major American pizza chain best known for its low-cost, “Hot-N-Ready” pizzas and widespread carryout locations.
-
D.
Pizza Express (restaurant)
Pizza Express is a popular UK-based restaurant chain known for its casual dining atmosphere and Italian-style pizzas.
-
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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfa9d6c81908c4c6b3a6f84f67d |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4354a4c081908c338db408694abf |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.