Triple
T13206971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Tapert |
E314389
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tapert |
E934103
|
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: Tapert | Statement: [Rob Tapert, familyName, Tapert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapert Context triple: [Rob Tapert, familyName, Tapert]
-
A.
Tapert
chosen
Tapert is a surname most notably associated with American film and television producer Robert Tapert, known for creating and producing series such as "Xena: Warrior Princess" and "Hercules: The Legendary Journeys."
-
B.
Tipner
Tipner is a residential and industrial suburb in the northwest of Portsmouth, England, known for its waterfront location and proximity to major transport routes.
-
C.
Tupe
Tupe is a small Andean town in Peru known for preserving the unique Jaqaru indigenous language and culture.
-
D.
Tuker
Tuker is a surname most notably associated with British Army officer Sir Francis Tuker, who served prominently during World War II.
-
E.
Tector
Tector is a member of the 2nd Massachusetts Militia Regiment, a fictional military unit featured in the science fiction television series "Falling Skies."
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9cb7ac819095cff8699993c419 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60eee288190bdb3ed6110394e48 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.