Triple
T4562986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Crocker |
E121839
|
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: [Charles Crocker, familyName, Crocker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crocker Context triple: [Charles 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.
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.
-
C.
Placer
Placer is the former historic name of the town now known as Loomis in Placer County, California.
-
D.
Sutter
Sutter is a surname of German origin most notably associated with John Sutter, a 19th-century pioneer linked to the California Gold Rush.
-
E.
Cutler
Cutler is the surname of Jay Cutler, a former NFL quarterback best known for his tenure with the Chicago Bears.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd5830b4308190a63699bf28922375 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc5a2a97081909c9c064924fcaa22 |
completed | March 20, 2026, 10:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.