Triple
T19731967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Mackenzie Phillips |
E473876
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Phillips |
—
|
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: Phillips | Statement: [Laura Mackenzie Phillips, familyName, Phillips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phillips Context triple: [Laura Mackenzie Phillips, familyName, Phillips]
-
A.
Phillips
chosen
Phillips is a common English-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
-
B.
Philipse
Philipse is the surname of a prominent colonial-era merchant and landowning family in what is now New York, notably associated with Frederick Philipse I.
-
C.
Philips Galle
Philips Galle was a prominent 16th-century Flemish engraver, print publisher, and draftsman known for his influential role in the Northern Renaissance printmaking industry.
-
D.
Phillips (company name)
Phillips is a leading international auction house specializing in contemporary art, design, watches, and other luxury collectibles.
-
E.
Haseltine
Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.