Triple
T8976378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romper Stomper |
E214398
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ian Pringle |
E214398
|
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: Ian Pringle | Statement: [Romper Stomper, producer, Ian Pringle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Pringle Context triple: [Romper Stomper, producer, Ian Pringle]
-
A.
Ian Pringle
chosen
Ian Pringle is a film producer best known for his work on the influential Australian drama "Romper Stomper."
-
B.
Alastair Muir
Alastair Muir is a photographer best known for his work capturing theatre and performing arts productions.
-
C.
Duncan Stewart
Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
-
D.
Roger Broggie
Roger Broggie was a pioneering Disney Imagineer and master machinist who played a crucial role in developing many of Walt Disney’s early technical innovations and theme park attractions.
-
E.
Andrew McMillan
Andrew McMillan is a software developer and open-source contributor known for his work on email and groupware technologies, particularly with the Kolab groupware server.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6786c880819088393bb107a7364c |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb44b97c81908704d9ecf778010e |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:02 p.m.