Triple
T2522847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipanema Gisele Bündchen sandals |
E55562
|
entity |
| Predicate | intendedSeason |
P1014
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Ipanema Gisele Bündchen sandals, intendedSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedSeason Context triple: [Ipanema Gisele Bündchen sandals, intendedSeason, summer]
-
A.
originallyPlannedForSeason
Indicates that something (such as an episode, storyline, or content) was initially intended or scheduled to appear in a particular season.
-
B.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
C.
hasSeason
chosen
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
D.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
-
E.
originallyPlannedSeasons
Indicates the number of seasons that were initially intended or scheduled for a series or show before any later changes or extensions.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23a0a548190b44393e0f823f7a9 |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.