Triple
T21797043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act 3: Taking a Trip |
E538120
|
entity |
| Predicate | storyStructurePosition |
P37669
|
FINISHED |
| Object | third act |
—
|
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: third act | Statement: [Act 3: Taking a Trip, storyStructurePosition, third act]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyStructurePosition Context triple: [Act 3: Taking a Trip, storyStructurePosition, third act]
-
A.
positionInStory
chosen
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
B.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
C.
positionStructure
Indicates a spatial or organizational arrangement relationship, specifying how one structure is positioned or configured relative to another.
-
D.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
E.
seriesStructure
Indicates how parts or installments are organized and related within a larger series or sequence.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0622502188190998638317f232334 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:53 p.m.