Triple
T24854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Forest Phonofilm Corporation |
E495
|
entity |
| Predicate | hasGenre |
P14
|
FINISHED |
| Object | short subject films |
—
|
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: short subject films | Statement: [De Forest Phonofilm Corporation, hasGenre, short subject films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenre Context triple: [De Forest Phonofilm Corporation, hasGenre, short subject films]
-
A.
genre
chosen
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
B.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
C.
hasNotableRecordingBy
Indicates that an entity (such as a work or composition) has a well-known or significant recording created or performed by a specified agent (such as an artist, ensemble, or label).
-
D.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
E.
hasAcademy
Indicates that an entity possesses, operates, or is formally associated with an academy as part of its structure or offerings.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246d794448190bb2844fcd0538eaa |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24657635881908f3415bc1bdfa1b5 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.