Triple
T18755458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Being John Malkovich |
E458636
|
entity |
| Predicate | titleRole |
P11527
|
FINISHED |
| Object | John Malkovich as himself |
—
|
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: John Malkovich as himself | Statement: [Being John Malkovich, titleRole, John Malkovich as himself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleRole Context triple: [Being John Malkovich, titleRole, John Malkovich as himself]
-
A.
titleOrRole
Indicates that one entity serves as the title, position, or role held or described by another entity.
-
B.
themeRole
Indicates that an entity is the primary participant undergoing or affected by the action or event expressed by a predicate.
-
C.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
D.
roleInText
chosen
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.