Triple
T6103108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pancho Villa |
E136051
|
entity |
| Predicate | hasWorkAdaptedIn |
P53538
|
FINISHED |
| Object | films about Pancho Villa |
—
|
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: films about Pancho Villa | Statement: [Pancho Villa, hasWorkAdaptedIn, films about Pancho Villa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkAdaptedIn Context triple: [Pancho Villa, hasWorkAdaptedIn, films about Pancho Villa]
-
A.
hasWorkAdaptation
Indicates that an entity has a modified, adjusted, or alternative form specifically adapted for use in a work or professional context.
-
B.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
C.
basedOnWorkAdaptedTo
chosen
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
D.
hasWorkBy
Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
-
E.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.