Triple
T355090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Phips |
E7524
|
entity |
| Predicate | receivedTitle |
P12204
|
FINISHED |
| Object | knighthood from King James II |
—
|
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: knighthood from King James II | Statement: [William Phips, receivedTitle, knighthood from King James II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedTitle Context triple: [William Phips, receivedTitle, knighthood from King James II]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
creditedTitle
Indicates that a particular title or role is formally attributed to an entity as a credit.
-
C.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
D.
claimedTitle
Indicates that an entity asserts or declares possession of a particular title or rank.
-
E.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
- F. None of above. chosen
Provenance (4 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb8312f4819084dc222e665fded3 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9589e7c8190b2d3af8f858c96af |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0a4c448190a8a179daa9b90645 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.