Triple
T23431454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip |
E563343
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Philip |
—
|
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: Philip | Statement: [Philip, givenName, Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Context triple: [Philip, givenName, Philip]
-
A.
Philip
Philip is the given first name of Phil Lynott, the charismatic Irish musician best known as the frontman and bassist of the rock band Thin Lizzy.
-
B.
Philip
Philip is the given name of the renowned American minimalist composer Philip Glass.
-
C.
Philip
Philip is the given name of Philip Yorke, 1st Earl of Hardwicke, an influential 18th-century British lawyer and Lord Chancellor.
-
D.
Philip
Philip is a family name most notably associated with the character Morgan Philip from Disney’s film "Enchanted."
-
E.
Philip
Philip was a 13th-century prince who briefly ruled the Armenian Kingdom of Cilicia as king consort through his marriage to Queen Isabella I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d8130881909e4f3455afef1804 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.