Triple
T38495548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iditarod Trail Sled Dog Race 2017 |
E919682
|
entity |
| Predicate | winningMusher |
P190962
|
FINISHED |
| Object | Mitch Seavey |
—
|
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: Mitch Seavey | Statement: [Iditarod Trail Sled Dog Race 2017, winningMusher, Mitch Seavey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningMusher Context triple: [Iditarod Trail Sled Dog Race 2017, winningMusher, Mitch Seavey]
-
A.
winningTrainer
Indicates that the trainer is the one who achieved victory in a particular competition or event.
-
B.
winnerRider
Indicates that a rider is the one who won a particular race or competition.
-
C.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
-
D.
winnerLane
Indicates that a particular lane is the one in which the winner of a race or competition is located.
-
E.
winnerWith
Indicates that one entity is the winner in a context or event specifically in association or combination with another entity.
- F. None of above. chosen
Provenance (4 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_69f76e9ddd4481908f8c04439d848f9d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:31 p.m.