Triple
T6904464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blake Snyder |
E159572
|
entity |
| Predicate | hasPartInMethod |
P10186
|
FINISHED |
| Object | opening image beat |
—
|
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: opening image beat | Statement: [Blake Snyder, hasPartInMethod, opening image beat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInMethod Context triple: [Blake Snyder, hasPartInMethod, opening image beat]
-
A.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
hasPartIn
chosen
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
C.
hasConstructorParticipation
Indicates that an entity participates in the creation or construction process of another entity.
-
D.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
E.
hasCodeIn
Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.