Triple
T18704025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nate Ford |
E457324
|
entity |
| Predicate | basedInWorkFormat |
P132359
|
FINISHED |
| Object | live-action series |
—
|
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: live-action series | Statement: [Nate Ford, basedInWorkFormat, live-action series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInWorkFormat Context triple: [Nate Ford, basedInWorkFormat, live-action series]
-
A.
basedOnWorkAdaptedTo
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
B.
workMode
Indicates the manner, configuration, or operational state in which an entity performs its work or function.
-
C.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
D.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
-
E.
establishedInWork
Indicates that something (such as a concept, character, organization, or rule) is first introduced, defined, or formally created within a particular work (e.g., a book, film, or other creative or scholarly work).
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671597ac819093dbb53553130f1e |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.