Triple
T20609957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Tanner |
E506420
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Tanner |
—
|
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: Tanner | Statement: [Captain Tanner, hasGivenName, Tanner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanner Context triple: [Captain Tanner, hasGivenName, Tanner]
-
A.
Tanner
Tanner is a surname of Finnish origin, notably borne by the politician Väinö Tanner.
-
B.
Tanner
Tanner is a character appearing in the science fiction action film "Judgment Day," associated with its futuristic, apocalyptic storyline.
-
C.
Tanner Buchanan
Tanner Buchanan is an American actor best known for his roles in the series "Cobra Kai" and various film and television projects.
-
D.
Tanner Sack
Tanner Sack is a Remade dock worker in China Miéville’s novel "The Scar," known for his transformation into an amphibious being and his central role in the journey to the floating pirate city of Armada.
-
E.
Marc Tanner
Marc Tanner is a music producer and songwriter known for his work on various rock and pop albums, including projects like "After the Rain."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.