Triple
T27900051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing with the Stars (season 23) |
E705605
|
entity |
| Predicate | runnerUpCelebrity |
P2683
|
FINISHED |
| Object | James Hinchcliffe |
—
|
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: James Hinchcliffe | Statement: [Dancing with the Stars (season 23), runnerUpCelebrity, James Hinchcliffe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpCelebrity Context triple: [Dancing with the Stars (season 23), runnerUpCelebrity, James Hinchcliffe]
-
A.
runnerUp
chosen
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
B.
runnerUpNickname
Indicates that one entity is the nickname used for the runner-up position or second-place finisher in relation to another entity.
-
C.
runnerUpSong
Indicates that a song holds the position of runner-up (second place) in a particular contest, ranking, or selection relative to a winner.
-
D.
runnerUpWins
Indicates that an entity finishes in second place in a competition or ranking and receives the corresponding runner-up victory or award.
-
E.
runnerUpRank
Indicates the position or ranking assigned to an entity that finishes immediately after the winner (or near the top) in a competition or ordered list.
- F. None of above.
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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:41 p.m.