Triple
T36322602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lennon in The Hours and Times |
E894375
|
entity |
| Predicate | fictionalizationType |
P64759
|
FINISHED |
| Object | speculative biography |
—
|
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: speculative biography | Statement: [John Lennon in The Hours and Times, fictionalizationType, speculative biography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalizationType Context triple: [John Lennon in The Hours and Times, fictionalizationType, speculative biography]
-
A.
fictionalizationOf
Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
-
B.
fictionalizationLevel
chosen
Indicates the degree to which an event, account, or representation has been altered, embellished, or invented relative to factual reality.
-
C.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
-
D.
fictionalUse
Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
-
E.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
Created at: May 3, 2026, 4:09 p.m.