Triple
T14043066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing with the Stars (U.S. season 13) |
E337893
|
entity |
| Predicate | numberOfWeeks |
P7555
|
FINISHED |
| Object | 10 |
—
|
LITERAL 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: 10 | Statement: [Dancing with the Stars (U.S. season 13), numberOfWeeks, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWeeks Context triple: [Dancing with the Stars (U.S. season 13), numberOfWeeks, 10]
-
A.
hasWeekLength
Indicates the duration of a week associated with an entity, typically expressed as a number of days.
-
B.
numberOfPeriods
Indicates the count of distinct time intervals or periods associated with an entity or event.
-
C.
signalDuration_weeks
Indicates the length of time, measured in weeks, that a signal persists or is in effect.
-
D.
regularSeasonWeeks
chosen
Indicates the number of weeks that make up the regular season portion of a schedule or competition.
-
E.
hasNumberOfWeekSystems
Indicates the relationship that specifies how many distinct week-based systems are associated with or used by a given entity.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.