Triple
T22396906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Taylor |
E553659
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Henry |
—
|
NE NERFINISHED |
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: Henry | Statement: [Henry Taylor, givenName, Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Context triple: [Henry Taylor, givenName, Henry]
-
A.
Henry
chosen
Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
-
B.
Henry
Henry is the given name of Henry Fox, 1st Baron Holland, an influential 18th-century British Whig politician and statesman.
-
C.
Henry
Henry was the given name of Henry III of Navarre, who later became King Henry IV of France and is known for initiating the Bourbon dynasty.
-
D.
Henry
Henry is the given first name of British film director Ken Russell, known for his flamboyant and controversial movies.
-
E.
Henry
Henry was the given name of Henry of Aragon, Duke of Villena, a medieval Spanish nobleman and scholar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.