Triple
T9179964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daly City, California |
E220296
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | John Daly |
E220296
|
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: John Daly | Statement: [Daly City, California, namedAfter, John Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Daly Context triple: [Daly City, California, namedAfter, John Daly]
-
A.
John Daly
John Daly was a prominent British film producer known for backing influential independent and Oscar-winning films through his company Hemdale Film Corporation.
-
B.
John Daly
John Daly is a cinematographer known for his work on the 1995 film adaptation of Jane Austen's "Persuasion."
-
C.
John Daly
chosen
John Daly was a local landowner and civic figure after whom the Californian city of Daly City was named.
-
D.
Ben Crenshaw
Ben Crenshaw is an American professional golfer and World Golf Hall of Famer renowned for his smooth putting stroke and two Masters Tournament victories.
-
E.
Paul Lawrie
Paul Lawrie is a Scottish professional golfer best known for winning the 1999 Open Championship at Carnoustie.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc251da448190a5c7f684dac15a84 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054b5512c8190aa7909ef8b56b186 |
completed | April 4, 2026, midnight |
Created at: March 30, 2026, 7:23 p.m.