Triple
T33985901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Summer’s Tale |
E871407
|
entity |
| Predicate | hasFilmCycle |
P199789
|
FINISHED |
| Object | Tales of the Four Seasons |
—
|
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: Tales of the Four Seasons | Statement: [A Summer’s Tale, hasFilmCycle, Tales of the Four Seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmCycle Context triple: [A Summer’s Tale, hasFilmCycle, Tales of the Four Seasons]
-
A.
hasLiveActionFilm
Indicates that a subject has a corresponding live-action film adaptation or representation.
-
B.
hasFilmForm
Indicates a relationship where a film is associated with its specific form or format (such as medium, structure, or presentation type).
-
C.
hasFilmStructure
Indicates that one entity possesses or is organized according to the narrative or formal structure of a film.
-
D.
hasMadeFilm
Indicates that a person or entity has created, directed, or otherwise produced a particular film.
-
E.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
- F. None of above. chosen
Provenance (4 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
| PDg | Predicate description generation | batch_69ff58031bb081909fea985b16f69da4 |
completed | May 9, 2026, 3:51 p.m. |
Created at: May 1, 2026, 1:50 a.m.