Triple
T8735008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillippe |
E207358
|
entity |
| Predicate | etymologicallyRelatedTo |
P5801
|
FINISHED |
| Object | Philip |
unclear NED1
|
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: Philip | Statement: [Phillippe, etymologicallyRelatedTo, Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Context triple: [Phillippe, etymologicallyRelatedTo, Philip]
-
A.
Philip
Philip was the given name of Philip V, the first Bourbon king of Spain who reigned in the early 18th century.
-
B.
Philip
Philip is a fictional character portrayed by British actor Bill Nighy, known for his distinctive, understated charm and dry wit.
-
C.
Philip
Philip is the given name of Philip K. Wrigley, the American chewing gum magnate and longtime owner of the Chicago Cubs.
-
D.
Philip
Philip is the given first name of American comedian and actor Phil Silvers, famed for his role as Sgt. Bilko.
-
E.
Philip
Philip, known historically as Philip the Handsome, was a late 15th- and early 16th-century Habsburg ruler who became Duke of Burgundy and King of Castile through marriage to Joanna of Castile.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2b89988190bb7671e273026046 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42bd840081908074e9d322a15b68 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:37 p.m.