Triple
T31418143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veronica |
E801452
|
entity |
| Predicate | hasTitleOfWorkContext |
P112236
|
FINISHED |
| Object | The Motherfucker with the Hat |
—
|
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: The Motherfucker with the Hat | Statement: [Veronica, hasTitleOfWorkContext, The Motherfucker with the Hat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleOfWorkContext Context triple: [Veronica, hasTitleOfWorkContext, The Motherfucker with the Hat]
-
A.
hasTitleWork
chosen
Indicates that an entity is associated with a specific work by its title (i.e., the entity has or bears that work’s title).
-
B.
hasWorkTitleType
Indicates that an entity holds a specific category or type of work-related title (e.g., job title type or role classification).
-
C.
hasWorkTitleElement
Indicates that an entity includes a specific textual component representing a work’s title or part of a work’s title.
-
D.
hasWorkingTitle
Indicates that an entity is associated with a provisional or temporary title used during its development or production.
-
E.
hasWorkingTitleStatus
Indicates that an entity currently holds the status of having a provisional or working title rather than a finalized official title.
- 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_69f348c26f048190b4adadd71b4596c5 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 30, 2026, 8:45 p.m.