Triple
T3490402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nero Padilla |
E73715
|
entity |
| Predicate | seasonIntroduced |
P8259
|
FINISHED |
| Object | Season 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: Season 5 | Statement: [Nero Padilla, seasonIntroduced, Season 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonIntroduced Context triple: [Nero Padilla, seasonIntroduced, Season 5]
-
A.
introducedDuring
chosen
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
B.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
C.
currentSeriesIntroduced
Indicates that an entity was first introduced or appeared in the currently ongoing series or installment of a work.
-
D.
seasonAfter
Indicates that one season occurs chronologically immediately after another season in a sequence.
-
E.
trophyIntroducedInSeason
Indicates the season in which a particular trophy was first introduced or became part of a competition or series.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.