Triple
T9299062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan and the Mermaids |
E223713
|
entity |
| Predicate | featuresSequenceType |
P41558
|
FINISHED |
| Object | underwater sequences |
—
|
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: underwater sequences | Statement: [Tarzan and the Mermaids, featuresSequenceType, underwater sequences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSequenceType Context triple: [Tarzan and the Mermaids, featuresSequenceType, underwater sequences]
-
A.
featuresSequence
chosen
Indicates that one entity presents or contains another entity as an ordered sequence of features or elements.
-
B.
sequencerType
Indicates the specific kind or category of sequencer associated with or used in relation to an entity.
-
C.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
D.
featureSet
Indicates that one entity is a collection or configuration of features associated with or applied to another entity.
-
E.
featuresStructure
Indicates that one entity possesses, exhibits, or incorporates a particular structure as a notable characteristic or component.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08cf50cc8190a025f478dff4f9fd |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.