Triple
T10125645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandip |
E226206
|
entity |
| Predicate | historicalContextInFiction |
P20933
|
FINISHED |
| Object | British colonial rule in India |
—
|
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: British colonial rule in India | Statement: [Sandip, historicalContextInFiction, British colonial rule in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalContextInFiction Context triple: [Sandip, historicalContextInFiction, British colonial rule in India]
-
A.
historicalContextOfWriting
Indicates that one entity provides the historical circumstances, period, or background in which another entity (typically a text or document) was written.
-
B.
fictionalHistoryFeature
chosen
Indicates a relationship where something is a notable element or aspect within the fictional history or backstory of another entity.
-
C.
historicalGenre
Indicates that something belongs to or is categorized within a particular historical genre.
-
D.
historicalSettingOfFilm
Indicates that a particular historical period, event, or context serves as the setting in which a film’s story takes place.
-
E.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ed85b4819097dfe89e044e1a90 |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.