Triple
T8384996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infernal Affairs |
E197793
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Alan Mak |
E729996
|
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: Alan Mak | Statement: [Infernal Affairs, screenwriter, Alan Mak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Mak Context triple: [Infernal Affairs, screenwriter, Alan Mak]
-
A.
Alan Mak
chosen
Alan Mak is a Hong Kong film director and screenwriter best known for co-directing the acclaimed crime thriller "Infernal Affairs" and its sequels.
-
B.
David Mack
David Mack is an American author best known for his numerous Star Trek tie-in novels and related science fiction works.
-
C.
Michael Greenwood
Michael Greenwood is a member of the Greenwood family, known primarily as a son of British politician Hamar Greenwood, 1st Viscount Greenwood.
-
D.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
E.
Alan Ereira
Alan Ereira is a British historian, broadcaster, and documentary filmmaker known for his work on medieval history and indigenous cultures.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80e03eb08190a458c9caa0524e0f |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02c0664481908f3c79246350a248 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:02 p.m.