Triple
T12565110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goddess |
E295450
|
entity |
| Predicate | hasFilmStatus |
P50248
|
FINISHED |
| Object | lost film |
—
|
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: lost film | Statement: [The Goddess, hasFilmStatus, lost film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmStatus Context triple: [The Goddess, hasFilmStatus, lost film]
-
A.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
-
B.
filmStatus
chosen
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
-
C.
hasCultFilmStatus
Indicates that a film has achieved cult status, typically through a dedicated, passionate fanbase despite limited or non-mainstream popularity.
-
D.
hasFilmScreenings
Indicates that a film is scheduled to be shown at one or more specific screenings or venues.
-
E.
hasFilmFestival
Indicates that a place, organization, or context hosts, organizes, or is the venue for a film festival.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:49 p.m.