Triple
T30800126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Lowe |
E784339
|
entity |
| Predicate | hasAliasInFilm |
P80851
|
FINISHED |
| Object | Leonard Lowe (same name used for film character) |
—
|
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: Leonard Lowe (same name used for film character) | Statement: [Leonard Lowe, hasAliasInFilm, Leonard Lowe (same name used for film character)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAliasInFilm Context triple: [Leonard Lowe, hasAliasInFilm, Leonard Lowe (same name used for film character)]
-
A.
hasStageNameInFilm
chosen
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
-
B.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
C.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
D.
hasFilmNamedAfter
Indicates that one entity (typically a person, place, event, or work) serves as the inspiration or subject for a film that bears its name or is explicitly titled after it.
-
E.
partOfFilmographyOf
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 29, 2026, 8:42 p.m.