Triple
T1141816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizza Hut |
E23468
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Dan Carney
Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
|
E208206
|
NE FINISHED |
How this triple was built (4 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: Dan Carney | Statement: [Pizza Hut, founder, Dan Carney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Carney Context triple: [Pizza Hut, founder, Dan Carney]
-
A.
Andrew Carnes
Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
-
B.
Dan Frank
Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
-
C.
Bill Carrigan
Bill Carrigan was an American Major League Baseball catcher and manager best known for leading the Boston Red Sox to multiple World Series championships in the 1910s.
-
D.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
E.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Carney Triple: [Pizza Hut, founder, Dan Carney]
Generated description
Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Carney Target entity description: Dan Carney is an American entrepreneur best known for co-founding the global restaurant chain Pizza Hut.
-
A.
Andrew Carnes
Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
-
B.
Dan Frank
Dan Frank was an influential American book editor known for shaping contemporary literary fiction and nonfiction during his long tenure at major publishing houses.
-
C.
Bill Carrigan
Bill Carrigan was an American Major League Baseball catcher and manager best known for leading the Boston Red Sox to multiple World Series championships in the 1910s.
-
D.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
E.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
- F. None of above. chosen
Provenance (5 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4d414881908fc636e8ccbc4c34 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1a06d7c8190b6c38ff6d18a4542 |
completed | March 8, 2026, 7:44 p.m. |
| NEDg | Description generation | batch_69add34958448190a7d0fcbbf80cb484 |
completed | March 8, 2026, 7:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add3ba5a688190a2040617b7e23083 |
completed | March 8, 2026, 7:53 p.m. |
Created at: March 1, 2026, 7:44 p.m.