Triple
T12278579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas (TV series) |
E292655
|
entity |
| Predicate | regularTimeSlotStartSeason |
P12625
|
FINISHED |
| Object | season 2 |
—
|
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: season 2 | Statement: [Dallas (TV series), regularTimeSlotStartSeason, season 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularTimeSlotStartSeason Context triple: [Dallas (TV series), regularTimeSlotStartSeason, season 2]
-
A.
regularSeasonStart
Indicates the date or point in time when a competition’s regular season officially begins.
-
B.
originalSeasonStart
Indicates the date or point in time when a season (such as a sports league or TV series) first began or was originally launched.
-
C.
seasonStartDate
Indicates the calendar date on which a particular season begins.
-
D.
typicalStartTimeOfYear
Indicates the usual or characteristic time of year when something typically begins or occurs.
-
E.
typicalStartSeason
chosen
Indicates the season during which something (such as an activity, event, or phenomenon) usually begins.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.