Triple
T26896205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Pleshette as Zira |
E677903
|
entity |
| Predicate | homeMediaReleaseCountry |
P8709
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Suzanne Pleshette as Zira, homeMediaReleaseCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeMediaReleaseCountry Context triple: [Suzanne Pleshette as Zira, homeMediaReleaseCountry, United States]
-
A.
homeMediaRelease
Indicates the release of a work in home media formats (such as DVD, Blu-ray, or digital download) for consumer viewing outside theaters.
-
B.
mediaRelease
Indicates that one entity publicly distributes or makes available media content (such as audio, video, or images) associated with another entity.
-
C.
countryOfRelease
chosen
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
D.
countryOfPublication
Indicates the country in which a work was formally published or made publicly available.
-
E.
countryOfAnnouncement
Indicates the country in which something (such as an event, decision, or product) is officially announced.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61faa702c81909489a6d40e8ee023 |
completed | May 2, 2026, 4 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:48 a.m.