Triple
T29559034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aayutha Ezhuthu |
E749984
|
entity |
| Predicate | hasParallelNarratives |
P112630
|
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: [Aayutha Ezhuthu, hasParallelNarratives, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParallelNarratives Context triple: [Aayutha Ezhuthu, hasParallelNarratives, true]
-
A.
narrativeParallel
chosen
Indicates that two or more narrative elements (such as storylines, scenes, or character arcs) are structured or progress in a similar, mirrored, or contrasting way to highlight connections between them.
-
B.
hasExpandedNarrativesIn
Indicates that something has developed or introduced more detailed, diverse, or extensive narratives within a specified context or medium.
-
C.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
D.
containsNarrativeOf
Indicates that one entity includes or presents the story, account, or narrative content of another entity.
-
E.
hasNarrativeUniverse
Indicates that one entity exists within, or is part of the fictional world or narrative setting defined by 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: April 28, 2026, 5:18 p.m.