Triple
T15208692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Showdown |
E363455
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Showdown derby |
E363455
|
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: Showdown derby | Statement: [Showdown, alsoKnownAs, Showdown derby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Showdown derby Context triple: [Showdown, alsoKnownAs, Showdown derby]
-
A.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
B.
Showdown
"Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
-
C.
Showdown
Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
-
D.
Showdown
chosen
Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
-
E.
Red–Blue Derby
The Red–Blue Derby is the fiercely contested football rivalry match between Tehran’s two biggest clubs, Persepolis and Esteghlal.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33dbda08190a10ba81082d0d183 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.