Triple
T20132288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powel Crosley Jr. |
E490925
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Powel |
—
|
NE NERFINISHED |
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: Powel | Statement: [Powel Crosley Jr., givenName, Powel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Powel Context triple: [Powel Crosley Jr., givenName, Powel]
-
A.
Po Powell
Po Powell is a graphic designer best known as a founding member of the iconic album-cover design studio Hipgnosis.
-
B.
Woolsey
Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
-
C.
Powell
chosen
Powell is a common English-language surname borne by numerous notable figures in politics, finance, sports, and the arts.
-
D.
Shultz
Shultz is a surname most prominently associated with George P. Shultz, a key American economist, diplomat, and former U.S. Secretary of State.
-
E.
Al Powell
Al Powell is a fictional Los Angeles police sergeant from the "Die Hard" film series, known for assisting John McClane during the Nakatomi Plaza hostage crisis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66762f0448190b7dbbc665e179ffc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.