Triple
T2874863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wamsutta |
E56851
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | King Philip |
E62470
|
NE 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: King Philip | Statement: [Wamsutta, successor, King Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Philip Context triple: [Wamsutta, successor, King Philip]
-
A.
Philip (King Philip)
chosen
Philip, commonly known as King Philip, was the Wampanoag leader who led a major Native American uprising against English colonists in New England during the 1670s.
-
B.
Prince Rupert
Prince Rupert is a coastal city in northwestern British Columbia, Canada, known as a major deep-water port and gateway to the Inside Passage and Alaska.
-
C.
Jacques I
Jacques I was the imperial title taken by Jean-Jacques Dessalines, the revolutionary leader who became the first ruler of independent Haiti.
-
D.
Prince Rupert of the Rhine
Prince Rupert of the Rhine was a 17th-century German-English royal prince best known as a charismatic Royalist cavalry commander in the English Civil War and later an admiral, scientist, and early member of the Royal Society.
-
E.
Charles King
Charles King is a film editor known for his work on major Hollywood productions, including Star Wars: Episode III – Revenge of the Sith.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055e6a7988190b37381667ec26fef |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.