Triple
T18229665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Kidder |
E436511
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Kidder |
—
|
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: Kidder | Statement: [Tracy Kidder, hasFamilyName, Kidder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidder Context triple: [Tracy Kidder, hasFamilyName, Kidder]
-
A.
Kidder
chosen
Kidder is a surname most notably associated with Pulitzer Prize–winning American author Tracy Kidder.
-
B.
Quinsey
Quinsey is an alternative given name or spelling variant of the name Quincy.
-
C.
Ralls
Ralls is a small rural city in West Texas known for its agricultural community and location within Crosby County.
-
D.
Bladen
Bladen is the middle name of Thomas Bladen Alexander, an individual whose full name incorporates this distinctive given name.
-
E.
Winslow
Winslow is a small historic market town in Buckinghamshire, England, known for its traditional architecture and rural surroundings.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b1b2108190a5585bbfaf2d295b |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.