Triple
T23366861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Daisley |
E593347
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Widowmaker |
—
|
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: Widowmaker | Statement: [Bob Daisley, associatedAct, Widowmaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widowmaker Context triple: [Bob Daisley, associatedAct, Widowmaker]
-
A.
Widowmaker
Widowmaker is the ominous nickname given to the Martin B-26 Marauder, a World War II twin‑engine medium bomber notorious for its early reputation as difficult and dangerous to fly.
-
B.
Widowmaker
Widowmaker is a cold, blue-skinned Talon sniper assassin from the Overwatch universe, known for her lethal precision and emotionless demeanor.
-
C.
Widowmaker
chosen
Widowmaker is a heavy metal band best known for featuring former Twisted Sister frontman Dee Snider and guitarist Al Pitrelli in the early 1990s.
-
D.
Widow-Maker
Widow-Maker is the famously wild and nearly unrideable horse of the American folk hero Pecos Bill in tall tales of the Old West.
-
E.
The Widowmaker
The Widowmaker is a 1990 British drama film about a junior doctor confronting systemic failures in the National Health Service, written by Jeremy Brock.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:31 p.m.