Triple
T7421065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven A. Coons Award |
E171245
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | Frank Crow |
E529821
|
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: Frank Crow | Statement: [Steven A. Coons Award, hasRecipient, Frank Crow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Crow Context triple: [Steven A. Coons Award, hasRecipient, Frank Crow]
-
A.
Frank Crow
chosen
Frank Crow is an individual notable enough to be recognized as a prominent bearer of the Crow surname.
-
B.
Rob Crow
Rob Crow is an American musician and songwriter best known as the co-founder and frontman of the indie rock band Pinback.
-
C.
Frank Hunter
Frank Hunter is a central character in Terence Rattigan’s play *The Browning Version*, a young schoolmaster whose affair with the headmaster’s wife exposes the emotional and moral tensions at the heart of the story.
-
D.
Carl Crow
Carl Crow was an American journalist, advertising executive, and author best known for his influential work in early 20th-century Shanghai and his book "400 Million Customers" about doing business in China.
-
E.
John Fry
John Fry is a relatively common personal name that may refer to multiple individuals across various professions and contexts.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef7fc808190a564ab4d9d97ab37 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.