Triple
T16333907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibson County, Indiana |
E396625
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | John Gibson |
E998231
|
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: John Gibson | Statement: [Gibson County, Indiana, namedFor, John Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gibson Context triple: [Gibson County, Indiana, namedFor, John Gibson]
-
A.
John Gibson
chosen
John Gibson was a colonial-era frontiersman and interpreter known for mediating between Native American leaders and British or American officials.
-
B.
John Gibson
John Gibson was a 19th-century British architect known for designing prominent public buildings in a classical style.
-
C.
John Gibson
John Gibson is an American professional ice hockey goaltender best known for his standout NHL career with the Anaheim Ducks and international play for Team USA.
-
D.
Charles Gibson
Charles Gibson is a visual effects artist and industry figure best known for co-founding the acclaimed VFX company Rhythm & Hues Studios.
-
E.
Michel Gibson
Michel Gibson is a local political figure who serves as the mayor of Kirkland, overseeing the city's municipal government and public affairs.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e1da1081909bec6e77e6109dce |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00606d1b00819082f1a6084875d9de |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:07 a.m.