Triple
T8190201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Mullan |
E191282
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Neds |
E718218
|
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: Neds | Statement: [Peter Mullan, wrote, Neds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neds Context triple: [Peter Mullan, wrote, Neds]
-
A.
Neds
chosen
Neds is a 2010 Scottish coming-of-age drama film that portrays a teenager’s descent into gang violence in 1970s Glasgow.
-
B.
Nese
Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
-
C.
Nied
Nied is a district of Frankfurt am Main in Germany, located along the River Main and known for its mix of residential areas and green spaces.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
Noss
Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4da2f4108190b9b69cb7f41ef374 |
completed | March 31, 2026, 4:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3495a2808190844cbd8e22458ebc |
completed | April 1, 2026, 3:07 p.m. |
Created at: March 30, 2026, 5:41 p.m.