Triple
T8534442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Creighton Burnett |
E202041
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Joe Hamilton |
E95897
|
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: Joe Hamilton | Statement: [Carol Creighton Burnett, spouse, Joe Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Hamilton Context triple: [Carol Creighton Burnett, spouse, Joe Hamilton]
-
A.
Joe Hamilton
chosen
Joe Hamilton was an American television producer best known for his work on *The Carol Burnett Show* and his long marriage to comedian Carol Burnett.
-
B.
Steve Hamilton
Steve Hamilton is a fictional character portrayed by Canadian actor Gil Bellows, best known from his work in film and television dramas.
-
C.
Thom Hamilton
Thom Hamilton is a person whose given name is the shortened form of Thomas Hamilton.
-
D.
Bruce Hamilton
Bruce Hamilton is a relatively common personal name shared by multiple individuals across fields such as sports, politics, and academia, rather than a single widely recognized public figure.
-
E.
Matt Hamilton
Matt Hamilton is an American curler known for his Olympic gold medal with Team USA and his distinctive personality and mustache.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a0ccd4819097b41d0dfb1c5018 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d7aa3a881909bfdd3536dbc4ec7 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:17 p.m.