Triple
T28454718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mabel’s Married Life |
E716677
|
entity |
| Predicate | eraOfCharlieChaplinCareer |
P167917
|
FINISHED |
| Object | early career |
—
|
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: early career | Statement: [Mabel’s Married Life, eraOfCharlieChaplinCareer, early career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfCharlieChaplinCareer Context triple: [Mabel’s Married Life, eraOfCharlieChaplinCareer, early career]
-
A.
earlyFilmsProducedBy
Indicates that the subject entity’s early films were produced by the object entity.
-
B.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
C.
directorOfWorkHeAppearsIn
Indicates that a person serves as the director of a work (such as a film, show, or production) in which he himself appears.
-
D.
hasFilmographyType
Indicates the type or category of film-related work associated with an entity (e.g., actor, director, producer) within its filmography.
-
E.
earlierPortrayalReleaseYear
Indicates that the release year of one portrayal occurred before the release year of another portrayal.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 1:53 a.m.