Triple
T37040428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iditarod Trail Sled Dog Race 2004 |
E916764
|
entity |
| Predicate | firstIditarodVictoryFor |
P205701
|
FINISHED |
| Object | Mitch Seavey |
E266018
|
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: Mitch Seavey | Statement: [Iditarod Trail Sled Dog Race 2004, firstIditarodVictoryFor, Mitch Seavey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIditarodVictoryFor Context triple: [Iditarod Trail Sled Dog Race 2004, firstIditarodVictoryFor, Mitch Seavey]
-
A.
numberOfIditarodWins
Indicates the number of times an entity has won the Iditarod race.
-
B.
winningMusher
Indicates that the subject is the musher who wins a particular sled dog race or event.
-
C.
John Thornton Kirkland
Indicates a naming relationship where the label or identifier "John Thornton Kirkland" is assigned to a specific individual.
-
D.
firstIndyCarWin
Indicates that the subject achieved their first victory in an IndyCar race.
-
E.
Indianapolis500Win
Indicates that an entity has won the Indianapolis 500 automobile race.
- F. None of above. chosen
Provenance (5 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40822fb4308190ad0280930f6ff06f |
completed | June 28, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.