Triple
T20772555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochester Red Wings |
E511271
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Spikes |
—
|
NE NERFINISHED |
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: Spikes | Statement: [Rochester Red Wings, hasMascot, Spikes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spikes Context triple: [Rochester Red Wings, hasMascot, Spikes]
-
A.
Spikes
chosen
Spikes is the costumed mascot of the Rochester Red Wings minor league baseball team, entertaining fans at games and team events.
-
B.
Spike
Spike is a reference RISC-V instruction set simulator used to model, test, and validate RISC-V processor implementations.
-
C.
Spike
Spike is a loyal minion character who serves the villainous Sorceress in the Spyro the Dragon video game series.
-
D.
Spike
Spike is a recurring enemy character in the Mario video game series, known for spitting spiked balls at the player.
-
E.
Spike
Spike is the gentle, mute Stegosaurus from *The Land Before Time* series, known for his voracious appetite and loyal, laid-back demeanor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2681ff88190bfe5938c2db6b2c4 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.