Triple
T1590257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Carroll |
E34162
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Carroll |
E119444
|
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: Carroll | Statement: [Pete Carroll, familyName, Carroll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carroll Context triple: [Pete Carroll, familyName, Carroll]
-
A.
Carroll
chosen
Carroll is a surname most famously associated with Charles Carroll of Carrollton, a prominent American Founding Father and signer of the Declaration of Independence.
-
B.
Horton
Horton is the middle name of the influential British mathematician John H. Conway, renowned for his work in group theory, knot theory, and recreational mathematics.
-
C.
Iger
Iger is the surname of Bob Iger, the longtime CEO and influential leader of The Walt Disney Company.
-
D.
Harper
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
-
E.
Charlie
Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621526e8819097d8c5330e527ed3 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad469eaf588190ac6db1c8fb7fa04e |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.