Triple
T34556330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Lord Fauntleroy (1936 film) |
E887213
|
entity |
| Predicate | literarySourcePublicationLanguage |
P73818
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Little Lord Fauntleroy (1936 film), literarySourcePublicationLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySourcePublicationLanguage Context triple: [Little Lord Fauntleroy (1936 film), literarySourcePublicationLanguage, English]
-
A.
publicationLanguageOfSourceWork
chosen
Indicates the language in which the original source work was published.
-
B.
literarySourcePublicationYear
Indicates the year in which the literary source associated with an entity was originally published.
-
C.
literarySource
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
-
D.
languageOfManuscript
Indicates the language in which a given manuscript is written.
-
E.
originalLanguagePublisher
Indicates that a publisher is responsible for releasing a work in its original language, before or apart from any translations.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 2:02 a.m.