Triple
T10607983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | armadillo shoes |
E275925
|
entity |
| Predicate | firstShownSeason |
P19890
|
FINISHED |
| Object | Spring/Summer 2010 |
—
|
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: Spring/Summer 2010 | Statement: [armadillo shoes, firstShownSeason, Spring/Summer 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShownSeason Context triple: [armadillo shoes, firstShownSeason, Spring/Summer 2010]
-
A.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
-
B.
firstSeasonOf
Indicates that one entity is the first season installment belonging to the series or show represented by the other entity.
-
C.
seriesSeasonOfFirstAppearance
Indicates the specific season of a series in which an entity (such as a character or element) first appears.
-
D.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
E.
firstEditionSeason
chosen
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.
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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:32 p.m.