Triple
T7137574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Ahead, Secret Seven |
E166345
|
entity |
| Predicate | hasProtagonistGroupType |
P24067
|
FINISHED |
| Object | children's detective club |
—
|
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: children's detective club | Statement: [Go Ahead, Secret Seven, hasProtagonistGroupType, children's detective club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistGroupType Context triple: [Go Ahead, Secret Seven, hasProtagonistGroupType, children's detective club]
-
A.
hasProtagonistGroup
chosen
Indicates that a narrative work features a central group of characters who collectively serve as the main protagonists.
-
B.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
C.
hasProtagonistJourneyType
Indicates that a narrative work features a main character whose overarching journey follows a specific type or pattern (e.g., hero’s journey, coming-of-age, tragedy).
-
D.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
E.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6939b788190929e92ff481f2ee4 |
completed | March 27, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:45 p.m.