Triple
T12416609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Godwin |
E296651
|
entity |
| Predicate | predecessorDynastyContext |
P14662
|
FINISHED |
| Object | preceded Norman rule in England |
—
|
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: preceded Norman rule in England | Statement: [House of Godwin, predecessorDynastyContext, preceded Norman rule in England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorDynastyContext Context triple: [House of Godwin, predecessorDynastyContext, preceded Norman rule in England]
-
A.
predecessorCulture
Indicates that one culture historically preceded and contributed to the development of another culture.
-
B.
historicalEntityPredecessor
chosen
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
C.
predecessorAsEasternRuler
Indicates that one entity previously held the position of eastern ruler before another entity assumed that same role.
-
D.
predecessorTitleContext
Indicates that the relationship specifies the contextual circumstances (such as role, period, or setting) under which a predecessor’s title is relevant or applies.
-
E.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.