Triple
T5055223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Julius No |
E113883
|
entity |
| Predicate | inspiredLaterCharacters |
P30808
|
FINISHED |
| Object | influence on archetype of Bond villains |
—
|
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: influence on archetype of Bond villains | Statement: [Dr. Julius No, inspiredLaterCharacters, influence on archetype of Bond villains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredLaterCharacters Context triple: [Dr. Julius No, inspiredLaterCharacters, influence on archetype of Bond villains]
-
A.
notableCharacterCreated
Indicates that one entity is a notable or significant character that was created by another entity.
-
B.
speciesInspiredBy
Indicates that one species concept, design, or depiction is modeled after, influenced by, or creatively derived from another species.
-
C.
partlyInspiredBy
chosen
Indicates that one entity has been influenced to some extent, but not wholly, by another entity in its creation, development, or form.
-
D.
inspiredTelevisionSeries
Indicates that one work served as the creative basis or inspiration for the development of a television series.
-
E.
relatedCharacter
Indicates that one character has a specified relationship or association with another character.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744ccb888190a8a0ddd7c4d62f35 |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.