Triple
T6761761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. Howard Crane |
E154610
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Crane |
E100532
|
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: Crane | Statement: [C. Howard Crane, familyName, Crane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crane Context triple: [C. Howard Crane, familyName, Crane]
-
A.
Crane
chosen
Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
-
B.
Hoist
Hoist is a 1994 studio album by the American jam band Phish, known for its eclectic rock sound and more concise, song-oriented approach compared to their earlier work.
-
C.
Crain
Crain is a variant spelling of the surname Crane, which is of English origin and often associated with the bird of the same name.
-
D.
Stork
The stork is a large, long-legged wading bird known for its migratory behavior and cultural associations with delivering babies in European folklore.
-
E.
Condor
Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21444dc8190a290af86c81e96a5 |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b352d08190932bc99dd3d673ba |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:12 p.m.