Triple
T35482271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meera Reed |
E1025498
|
entity |
| Predicate | introducedInTVSeason |
P115402
|
FINISHED |
| Object | Game of Thrones season 3 |
—
|
NE NERFINISHED |
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: Game of Thrones season 3 | Statement: [Meera Reed, introducedInTVSeason, Game of Thrones season 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInTVSeason Context triple: [Meera Reed, introducedInTVSeason, Game of Thrones season 3]
-
A.
announcedInSeason
Indicates that something (such as a product, feature, or event) was officially announced during a particular season.
-
B.
firstUsedInSeason
chosen
Indicates the season in which something (such as a character, item, or concept) was first introduced or used.
-
C.
introducedOnTV
Indicates that an entity was first presented, revealed, or made known to the public through a television broadcast.
-
D.
introducedForSeries
Indicates that an entity was first created or brought into existence specifically for inclusion in a particular series.
-
E.
firstAiredInSeason
Indicates the specific season of a series in which an episode or content item was originally first broadcast or released.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe5ec9028081909ae3d6fbe2f4cbbc |
completed | May 8, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69fe5e1d715881909fc516fafc707644 |
completed | May 8, 2026, 10:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.