Triple
T7397991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillip Anschutz Jr. |
E170671
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Phillip |
E568267
|
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: Phillip | Statement: [Phillip Anschutz Jr., givenName, Phillip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phillip Context triple: [Phillip Anschutz Jr., givenName, Phillip]
-
A.
Phillip
Phillip is the given first name of Phil Nevin, a former Major League Baseball player and manager.
-
B.
Phillip
Phillip is the middle name of Canadian-American cosmologist and Nobel laureate James Peebles.
-
C.
Phillip
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.
-
D.
Phillip
chosen
Phillip is a masculine given name of Greek origin meaning "lover of horses," borne by numerous historical and contemporary figures.
-
E.
Phillip
Phillip is the given first name of former NFL quarterback and sports broadcaster Phil Simms.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24abcd08190b8428fa22b2fbd4f |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81106c0788190a3740acf7bb4ab86 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.