Triple
T5695343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Tanner |
E125525
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tanner |
E235420
|
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: Tanner | Statement: [Chuck Tanner, familyName, Tanner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanner Context triple: [Chuck Tanner, familyName, Tanner]
-
A.
Tanner
chosen
Tanner is a surname of Finnish origin, notably borne by the politician Väinö Tanner.
-
B.
Blaze Tucker
Blaze Tucker is the daughter of reality television star and singer-songwriter Kandi Burruss and her husband Todd Tucker.
-
C.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
D.
Tate Donovan
Tate Donovan is an American actor and director known for his roles in projects such as the TV series "The O.C." and the film "Argo," as well as for voicing the title character in Disney's animated movie "Hercules."
-
E.
Brody
Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02409e70081909e47f2bd4a50fa12 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5635448190ada625283405752f |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.