Triple
T21716017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angels One Five |
E536029
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Gordon Pilkington |
—
|
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: Gordon Pilkington | Statement: [Angels One Five, editedBy, Gordon Pilkington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Pilkington Context triple: [Angels One Five, editedBy, Gordon Pilkington]
-
A.
Gordon Pilkington
chosen
Gordon Pilkington is a film editor known for his work on the 1962 World War II drama "The War Lover."
-
B.
Gordon Juckes
Gordon Juckes was a prominent Canadian ice hockey administrator who played a key role in developing and promoting amateur hockey across Canada.
-
C.
Clive Gollings
Clive Gollings is a socially awkward British science-fiction enthusiast who embarks on a road trip with his friend Graeme in the comedy film "Paul."
-
D.
Gordon Bowker
Gordon Bowker is an American writer and entrepreneur best known as one of the co-founders of the global coffee company Starbucks.
-
E.
Gordon Hales
Gordon Hales was a film editor known for his work on major British and international productions, including Charlie Chaplin’s final film "A Countess from Hong Kong."
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.