Triple
T15179276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Downey |
E362695
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object | Stanley H. Tweedle |
E1141192
|
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: Stanley H. Tweedle | Statement: [Brian Downey, hasRole, Stanley H. Tweedle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanley H. Tweedle Context triple: [Brian Downey, hasRole, Stanley H. Tweedle]
-
A.
Stanley H. Tweedle
chosen
Stanley H. Tweedle is the bumbling yet well-meaning security guard-turned-reluctant hero from the science fiction television series "Lexx."
-
B.
Stanley Townsend
Stanley Townsend is an Irish character actor known for his extensive work in film, television, and theatre, often portraying complex supporting roles.
-
C.
John D. Tickle
John D. Tickle is an American businessman and philanthropist best known for his major contributions to the University of Tennessee, particularly its College of Engineering.
-
D.
Henry H. Travers
Henry H. Travers was a New Zealand naturalist and collector known for his work documenting the country’s unique birdlife and other fauna.
-
E.
Stanley Newman
Stanley Newman was an American linguist known for his influential descriptive and analytical work on Native American languages, particularly Zuni.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d9af308190b0103cec0fb8d87d |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 10, 2026, 3:09 a.m.