Triple
T17217580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopussy |
E417891
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | John Glen |
E403804
|
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: John Glen | Statement: [Octopussy, director, John Glen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Glen Context triple: [Octopussy, director, John Glen]
-
A.
John Glen
chosen
John Glen is a British film director best known for directing five James Bond movies during the 1980s.
-
B.
John Glen
John Glen is a British Conservative Party politician who has served as the Member of Parliament for Salisbury and has held ministerial roles in the UK government.
-
C.
John Glynn
John Glynn was an 18th-century English lawyer and politician whose prominence led to Glynn County in Georgia being named in his honor.
-
D.
John Campion
John Campion was the husband of New Zealand actress and writer Edith Campion, associated with the country’s mid-20th-century literary and theatrical circles.
-
E.
Philip McKeon
Philip McKeon was an American actor best known for playing Tommy Hyatt, the son of the title character, on the sitcom "Alice."
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675381a0819094ed04eac636440b |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.