Triple
T20654538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Macmillan in The Crown |
E507586
|
entity |
| Predicate | fidelityToHistory |
P113313
|
FINISHED |
| Object | partly fictionalized |
—
|
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: partly fictionalized | Statement: [Harold Macmillan in The Crown, fidelityToHistory, partly fictionalized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fidelityToHistory Context triple: [Harold Macmillan in The Crown, fidelityToHistory, partly fictionalized]
-
A.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
B.
historicalAlignmentOf
Indicates a relationship where entities share or are compared based on their positions, roles, or associations within a specific historical context or period.
-
C.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
-
D.
associatedWithHistoricalState
Indicates that an entity has a relationship or connection to a specific historical state or former political entity.
-
E.
hasHistoricalReliability
chosen
Indicates that something is supported by credible historical evidence and is considered trustworthy as an account of past events.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ec90e881909250884483429acf |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.