Triple
T15179280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Downey |
E362695
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Pit Pony |
E578370
|
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: Pit Pony | Statement: [Brian Downey, performedIn, Pit Pony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pit Pony Context triple: [Brian Downey, performedIn, Pit Pony]
-
A.
Pit Pony
chosen
Pit Pony is a Canadian television film and subsequent series about a young boy working with ponies in a coal mine, notable as one of Elliot Page’s early acting roles.
-
B.
Pony
"Pony" is a 1996 R&B single by Ginuwine, produced by Timbaland, known for its distinctive bassline and sensual lyrics that became a defining hit of late-1990s R&B.
-
C.
Pony
"Pony" is a popular country song by Australian singer-songwriter Kasey Chambers, known for its catchy melody and heartfelt lyrics.
-
D.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
E.
Peruna the Pony
Peruna the Pony is the live Shetland pony mascot of Southern Methodist University, known for leading the school's football team onto the field at games.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89061548190b0b10da00b8d937e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.