Triple
T27900052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing with the Stars (season 23) |
E705605
|
entity |
| Predicate | runnerUpProfessional |
P57979
|
FINISHED |
| Object | Sharna Burgess |
—
|
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: Sharna Burgess | Statement: [Dancing with the Stars (season 23), runnerUpProfessional, Sharna Burgess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpProfessional Context triple: [Dancing with the Stars (season 23), runnerUpProfessional, Sharna Burgess]
-
A.
runnerUpProfessionalPartner
chosen
Indicates the professional partner associated with the entity that finished as runner-up in a competition or contest.
-
B.
runnerUp
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
C.
runnerUpWins
Indicates that an entity finishes in second place in a competition or ranking and receives the corresponding runner-up victory or award.
-
D.
runnerUpLeague
Indicates that an entity finished in second place in a league competition.
-
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_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:41 p.m.