Triple
T10488471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel "Spud" Murphy |
E247351
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Spud |
E733927
|
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: Spud | Statement: [Daniel "Spud" Murphy, nickname, Spud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spud Context triple: [Daniel "Spud" Murphy, nickname, Spud]
-
A.
Spud
chosen
Spud is the hapless, endearing heroin addict portrayed by Ewen Bremner in the cult British film "Trainspotting" and its sequel.
-
B.
Keeble
Keeble is a fictional aristocratic surname most notably associated with Lady Constance Keeble in P. G. Wodehouse’s Blandings Castle stories.
-
C.
Bud
Bud is the longtime nickname of Allan H. "Bud" Selig, the former Commissioner of Major League Baseball.
-
D.
Bud
Bud is the nickname of Bud Black, a former Major League Baseball pitcher and current manager known for his long career in professional baseball.
-
E.
Bud
Bud is the ring nickname of American professional boxer Terence Crawford, a multiple-division world champion widely regarded as one of the best pound-for-pound fighters of his era.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096b609c81909e23fd8fb6426f4a |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dc44d7881908391487275b845bf |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:23 p.m.