Triple
T14338790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philips |
E355536
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Philipps |
E820613
|
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: Philipps | Statement: [Philips, variantOf, Philipps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philipps Context triple: [Philips, variantOf, Philipps]
-
A.
Philipps
chosen
Philipps is the surname of American actress and television host Busy Philipps, known for roles in series like "Freaks and Geeks" and "Dawson's Creek."
-
B.
Phillippe
Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
-
C.
Philipp
Philipp is a male given name of Greek origin, commonly used in various European countries and historically borne by numerous nobles and royals.
-
D.
Philipp
Philipp is the German given name of Philip Melanchthon, the influential 16th-century German Lutheran reformer and collaborator of Martin Luther.
-
E.
Philipp
Philipp was the given name of the 19th-century German botanist and explorer Carl Friedrich Philipp von Martius, renowned for his extensive studies of Brazilian flora.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469bc538819099ed5b7061cf140d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.