Triple
T1283613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Daly |
E27381
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Daly |
E101855
|
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: Daly | Statement: [Chuck Daly, familyName, Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daly Context triple: [Chuck Daly, familyName, Daly]
-
A.
Daly
chosen
Daly is a surname most notably associated with Herman Daly, an influential American ecological economist known for his work on steady-state economics and sustainability.
-
B.
Dolan
Dolan is a surname most prominently associated with the American business family that controls Madison Square Garden Sports and Entertainment, including executive James L. Dolan.
-
C.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
D.
Darley Dale
Darley Dale is a small town and civil parish in the Derbyshire Dales of England, known for its scenic setting near the Peak District and its historic railway heritage.
-
E.
Daboll
Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fdb3ac81909bc836e2a655130c |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.