Triple
T18318574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masar |
E438809
|
entity |
| Predicate | threeYearOldSeason |
P131323
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Masar, threeYearOldSeason, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threeYearOldSeason Context triple: [Masar, threeYearOldSeason, 2018]
-
A.
thirdSeasonCoversPeriod
Indicates that the third season of a series or show encompasses or portrays a specific time period or span of events.
-
B.
thirdSeasonBasedOn
Indicates that the third season of a work is adapted from or derived from another source material.
-
C.
thirdSeasonChampion
Indicates that the subject is the champion or winner of the third season of a competition, series, or event.
-
D.
season3Subject
Indicates that the subject is associated with or pertains to the third season of a series or recurring event.
-
E.
seasonOfTreble
Indicates a season in which a team or entity achieves a treble, i.e., wins three major titles or competitions within that single 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.