Triple
T10656458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Crocker |
E251100
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Crocker |
E211680
|
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: Crocker | Statement: [Ryan Crocker, familyName, Crocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crocker Context triple: [Ryan Crocker, familyName, Crocker]
-
A.
Crocker
chosen
Crocker is a surname of English origin borne by various notable individuals across fields such as technology, sports, and the arts.
-
B.
Dymond
Dymond is a former township in Ontario, Canada, that was amalgamated into the city of Temiskaming Shores.
-
C.
Kemper
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
-
D.
Mount Morgan
Mount Morgan is a historic former gold mining town in Central Queensland, Australia, known for its once world-famous Mount Morgan Mine and heritage-era architecture.
-
E.
Placer
Placer is the former historic name of the town now known as Loomis in Placer County, California.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dffa73a08190bf661df600b4ab96 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a7aa490819094c7eaf3fc5e2c43 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:07 p.m.