Triple
T3507533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Kirk |
E74112
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ron Kirk |
E74112
|
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: Ron Kirk | Statement: [Ron Kirk, name, Ron Kirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Kirk Context triple: [Ron Kirk, name, Ron Kirk]
-
A.
Ron Kirk
chosen
Ron Kirk is an American politician and lawyer who served as mayor of Dallas and later as the United States Trade Representative under President Barack Obama.
-
B.
William M. Daley
William M. Daley is an American lawyer, businessman, and Democratic politician who served as U.S. Secretary of Commerce and White House Chief of Staff.
-
C.
Rod Blagojevich
Rod Blagojevich is a former Democratic governor of Illinois who gained national notoriety after being impeached and convicted on federal corruption charges related to the attempted sale of Barack Obama’s vacated U.S. Senate seat.
-
D.
Mike Quigley
Mike Quigley is an American Democratic politician and U.S. Representative known for serving the Chicago-area 5th congressional district in Illinois.
-
E.
Jim Cox
Jim Cox is an American screenwriter best known for his work on animated films, including Disney’s "The Rescuers Down Under."
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0b635c81909bc95ba2562d8f94 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e0dc7881909af631182970d132 |
completed | March 13, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:18 p.m.