Triple
T21842171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIA Trailblazer Award |
E539280
|
entity |
| Predicate | hasRecipient |
P108
|
FINISHED |
| Object | T. J. Rodgers |
—
|
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: T. J. Rodgers | Statement: [CIA Trailblazer Award, hasRecipient, T. J. Rodgers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T. J. Rodgers Context triple: [CIA Trailblazer Award, hasRecipient, T. J. Rodgers]
-
A.
T.J. Rodgers
chosen
T.J. Rodgers is an American entrepreneur and engineer best known as the outspoken founder and longtime CEO of semiconductor company Cypress Semiconductor.
-
B.
Jacoby Brissett
Jacoby Brissett is an American professional football quarterback who has played in the NFL for multiple teams, including the New England Patriots, Indianapolis Colts, and Cleveland Browns.
-
C.
Ryan Finley
Ryan Finley is an American entrepreneur best known as the founder of the online survey platform SurveyMonkey.
-
D.
Matt Farrell
Matt Farrell is a young, highly skilled computer hacker who becomes John McClane’s reluctant ally in the action film "Live Free or Die Hard."
-
E.
Cal Trask
Cal Trask is a central, morally conflicted character in John Steinbeck’s novel "East of Eden," often seen as a modern reimagining of the biblical Cain.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7acb17c81908c0de0afac5a9fa7 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.