Triple
T20449004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing of Angel Street |
E501596
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Bruce Smeaton |
—
|
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: Bruce Smeaton | Statement: [The Killing of Angel Street, composer, Bruce Smeaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Smeaton Context triple: [The Killing of Angel Street, composer, Bruce Smeaton]
-
A.
Bruce Smeaton
chosen
Bruce Smeaton is an Australian composer best known for his film scores, particularly for notable Australian and international movies from the 1970s onward.
-
B.
Guy Maunsell
Guy Maunsell was a British civil engineer and architect best known for designing the World War II-era offshore Maunsell Forts in the Thames and Mersey estuaries.
-
C.
Walter Tibbits
Walter Tibbits is a person known primarily as a notable bearer of the surname Tibbits.
-
D.
John Holland
John Holland was a pioneering American scientist known as the father of genetic algorithms and a key figure in the development of complex adaptive systems theory.
-
E.
John Holland
John Holland was an American actor known for his supporting roles in mid-20th-century film and television productions.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfffae4819086c727f4143c2737 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.