Triple
T23833370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cast of Gilligan's Island |
E589573
|
entity |
| Predicate | includesCharacterArchetype |
P102015
|
FINISHED |
| Object | the bumbling first mate |
—
|
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: the bumbling first mate | Statement: [cast of Gilligan's Island, includesCharacterArchetype, the bumbling first mate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCharacterArchetype Context triple: [cast of Gilligan's Island, includesCharacterArchetype, the bumbling first mate]
-
A.
usesCharacterArchetype
chosen
Indicates that one entity employs or incorporates the character archetype represented by another entity in its narrative or design.
-
B.
hasArchetype
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
-
C.
typeOfCharacter
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
D.
metCharacter
Indicates that one entity has encountered or been introduced to another entity at least once.
-
E.
featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f7aa488190b1bc5cab77a11123 |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:06 p.m.