Triple
T32932968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin W. Dixon |
E842445
|
entity |
| Predicate | natureOfName |
P175412
|
FINISHED |
| Object | brand name for a series |
—
|
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: brand name for a series | Statement: [Franklin W. Dixon, natureOfName, brand name for a series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfName Context triple: [Franklin W. Dixon, natureOfName, brand name for a series]
-
A.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
B.
nameEtymologyFor
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
C.
namingMeaning
Indicates that one entity provides the meaning, sense, or semantic interpretation of a given name or naming expression for another entity.
-
D.
nameLiterallyMeans
Indicates that the literal meaning or direct translation of one entity’s name is given by the other entity.
-
E.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
- F. None of above. chosen
Provenance (4 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:20 a.m.