Triple
T19020057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | children of Styx |
E465459
|
entity |
| Predicate | notableMemberCount |
P92144
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [children of Styx, notableMemberCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMemberCount Context triple: [children of Styx, notableMemberCount, 4]
-
A.
hasNotableMember
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
-
B.
notableCount
chosen
Indicates the number of notable or distinguished items, entities, or instances associated with a given subject.
-
C.
notableMemberWorld
Indicates that an entity is a particularly prominent or distinguished member within a global or worldwide group, organization, or context.
-
D.
notableMemberNationality
Indicates that the notable member of a group or organization has the specified nationality.
-
E.
notableAuthorMember
Indicates that an entity is a notable or distinguished author who is a member of a particular group, organization, or collection.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6ddc9608190a1daec9ddcc79a7a |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.