Triple
T33899460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From This Side |
E869006
|
entity |
| Predicate | partOfNarrativeExperiment |
P38554
|
FINISHED |
| Object | hopscotch-style reading order |
—
|
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: hopscotch-style reading order | Statement: [From This Side, partOfNarrativeExperiment, hopscotch-style reading order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfNarrativeExperiment Context triple: [From This Side, partOfNarrativeExperiment, hopscotch-style reading order]
-
A.
hasPartInNarrative
chosen
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
B.
narrativePremise
Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
-
C.
narrativeSectionOf
Indicates that one text segment functions as a narrative section or component within a larger narrative work or document.
-
D.
narrativeSituation
Indicates the contextual relationship that defines how events, characters, and perspectives are arranged and presented within a narrative.
-
E.
parallelExperiment
Indicates that one experiment is conducted alongside another under comparable conditions, typically for simultaneous testing or comparison.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: May 1, 2026, 1:48 a.m.