Triple
T11157499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internal Affairs |
E263948
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Mike Figgis |
E842322
|
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: Mike Figgis | Statement: [Internal Affairs, director, Mike Figgis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Figgis Context triple: [Internal Affairs, director, Mike Figgis]
-
A.
Mike Figgis
chosen
Mike Figgis is a British film director, screenwriter, and composer best known for his innovative, often experimental work in cinema, including the acclaimed film "Leaving Las Vegas."
-
B.
Alex Gifford
Alex Gifford is a British musician and record producer best known as a member of the electronic music group Propellerheads.
-
C.
Thomas Eyre
Thomas Eyre is a relatively obscure historical figure whose specific identity and achievements are not clearly distinguished in common reference sources.
-
D.
Stephen Frears
Stephen Frears is a British film director known for acclaimed works such as "Dangerous Liaisons," "High Fidelity," and "Philomena."
-
E.
Stephen Daldry
Stephen Daldry is an acclaimed British theatre and film director and producer known for works such as "Billy Elliot," "The Hours," and "The Reader."
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46352e0688190924f15bc7d7ede90 |
completed | April 19, 2026, 5:08 a.m. |
Created at: April 8, 2026, 9:28 p.m.