Triple
T10776677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take the Money and Run |
E254213
|
entity |
| Predicate | isWoodyAllenFeatureDebut |
P93166
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Take the Money and Run, isWoodyAllenFeatureDebut, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWoodyAllenFeatureDebut Context triple: [Take the Money and Run, isWoodyAllenFeatureDebut, true]
-
A.
featureDirectorialDebutOf
Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
-
B.
featureFilmDebut
chosen
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
C.
firstFeatureFilmRelease
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
D.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
E.
debutInCinema
Indicates that a film or work is first publicly released or shown in movie theaters.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.