Triple
T13779658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warehouse 13 |
E331100
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | D. Brent Mote |
E1060822
|
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: D. Brent Mote | Statement: [Warehouse 13, developer, D. Brent Mote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D. Brent Mote Context triple: [Warehouse 13, developer, D. Brent Mote]
-
A.
D. Brent Mote
chosen
D. Brent Mote is a television writer and producer best known for creating the science fiction series "Warehouse 13."
-
B.
David E. Talbert
David E. Talbert is an American playwright, author, and filmmaker known for his romantic comedies and stage-to-screen adaptations.
-
C.
Michael G. Moye
Michael G. Moye is an American television writer and producer best known for co-creating the groundbreaking Fox sitcom "Married... with Children."
-
D.
Michael A. McNeilly
Michael A. McNeilly is an American entrepreneur best known as one of the founders of the semiconductor equipment company Applied Materials.
-
E.
Michael J. Weithorn
Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d4af2081909628c1691e073f6f |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.