Triple
T6778415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 Division Series |
E155616
|
entity |
| Predicate | firstSeasonScheduled |
P72753
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [1994 Division Series, firstSeasonScheduled, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonScheduled Context triple: [1994 Division Series, firstSeasonScheduled, 1994]
-
A.
firstSeasonDetermined
Indicates that the initial season associated with an entity has been identified or established.
-
B.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
-
C.
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.
-
D.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
E.
firstEditionSeason
Indicates the season or time period during which something (such as a work or product) was first published, released, or issued in its original edition.
- F. None of above. chosen
Provenance (4 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2689d408190bc2c1ce4ae9c1b13 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d095dcac8190bb9b943f50a7f885 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d182213c819086fcbbfd3d64d80b |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:14 p.m.