Triple
T32166135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lepeniotis |
E821582
|
entity |
| Predicate | creditedAsWriterOn |
P47055
|
FINISHED |
| Object | The Nut Job 2: Nutty by Nature |
—
|
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 Nut Job 2: Nutty by Nature | Statement: [Peter Lepeniotis, creditedAsWriterOn, The Nut Job 2: Nutty by Nature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditedAsWriterOn Context triple: [Peter Lepeniotis, creditedAsWriterOn, The Nut Job 2: Nutty by Nature]
-
A.
hasWritingCreditOn
chosen
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
-
B.
screenwriterOfWorkAppearingIn
Indicates that a person is the screenwriter of a work in which a specified entity (such as a character, actor, or role) appears.
-
C.
screenwriterWorkedWith
Indicates that a screenwriter has collaborated professionally with another individual on one or more film, television, or related media projects.
-
D.
screenwriterOfWorkCreator
Indicates that one entity is the screenwriter who created or wrote the screenplay for a particular work.
-
E.
screenwriterCreditContext
Indicates the contextual details or circumstances under which a person is credited as a screenwriter for a particular work.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1f7c008190932bf0da8e41c73f |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.