Triple
T20643663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Michael Phillip |
E507294
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Phillip |
—
|
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: Phillip | Statement: [Andrew Michael Phillip, familyName, Phillip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phillip Context triple: [Andrew Michael Phillip, familyName, Phillip]
-
A.
Phillip
Phillip is the given first name of Phil Nevin, a former Major League Baseball player and manager.
-
B.
Phillip
Phillip is a given name that serves as the middle name of the American astronaut Michael Phillip Anderson.
-
C.
Phillip
Phillip is the first name of the fictional antagonist Phillip Vandamm, portrayed by James Mason in Alfred Hitchcock’s classic thriller "North by Northwest."
-
D.
Phillip
chosen
Phillip is the surname of Arthur Phillip, the British Royal Navy officer who became the first Governor of New South Wales and founded the penal colony that grew into Sydney.
-
E.
Phillip
Phillip is the middle name of Thomas "Tip" O'Neill, the prominent American politician and long-serving Speaker of the U.S. House of Representatives.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.