Triple
T15393133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorky Park |
E368098
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Ian Bannen |
E534688
|
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: Ian Bannen | Statement: [Gorky Park, starredActor, Ian Bannen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Bannen Context triple: [Gorky Park, starredActor, Ian Bannen]
-
A.
Ian Bannen
chosen
Ian Bannen was a Scottish character actor known for his versatile performances in film, television, and theatre, including acclaimed roles in movies such as "The Flight of the Phoenix" and "Braveheart."
-
B.
Phil Bowler
Phil Bowler is an American jazz bassist known for his work with prominent ensembles and contributions to contemporary jazz performance and recording.
-
C.
Allen Davey
Allen Davey was an American cinematographer active in early Hollywood filmmaking.
-
D.
Martin Harrington
Martin Harrington is a music producer and songwriter known for his work on hit pop records.
-
E.
Graham Broad
Graham Broad is an English rock drummer best known for his work with artists such as Roger Waters and Procol Harum.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cee12e08190a7dc9f1577ca967d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:19 a.m.