Triple
T13594840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Douglas |
E324789
|
entity |
| Predicate | leftBeforeSeason |
P110217
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Michael Douglas, leftBeforeSeason, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftBeforeSeason Context triple: [Michael Douglas, leftBeforeSeason, 5]
-
A.
previousSeason
Indicates that one season directly precedes another in chronological order within the same series or competition.
-
B.
startSeason
Indicates the point in time or event at which a particular season begins.
-
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.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
E.
originallyPlannedForSeason
Indicates that something (such as an episode, storyline, or content) was initially intended or scheduled to appear in a particular season.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.