Triple
T23930768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patterns |
E602487
|
entity |
| Predicate | screenDebutInFeatureFor |
P26909
|
FINISHED |
| Object | Rod Serling (as film writer) |
—
|
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: Rod Serling (as film writer) | Statement: [Patterns, screenDebutInFeatureFor, Rod Serling (as film writer)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenDebutInFeatureFor Context triple: [Patterns, screenDebutInFeatureFor, Rod Serling (as film writer)]
-
A.
screenDebut
chosen
Indicates the event or relationship in which an entity appears on screen for the first time in a film, television, or other visual media production.
-
B.
screenDebutTypeFor
Indicates the type or category of screen debut associated with a given entity (e.g., a person or work).
-
C.
debutFeatureOf
Indicates that one entity is the first major or initial feature (such as a debut work or appearance) associated with another entity.
-
D.
screenDebutWithA24
Indicates that an entity made its first on-screen appearance in a production distributed or produced by A24.
-
E.
screenDebutAsWriterFor
Indicates that an individual made their first credited screenwriting appearance in a particular film, show, or screen production.
- 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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9b4ae88190b3f4fee69d24bc33 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:57 p.m.