Triple
T6412397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Perkins |
E127737
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Perkins |
E209764
|
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: Perkins | Statement: [Anthony Perkins, familyName, Perkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perkins Context triple: [Anthony Perkins, familyName, Perkins]
-
A.
Perkins
chosen
Perkins is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
B.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Perkins Engines Company Limited
Perkins Engines Company Limited is a British manufacturer renowned for its diesel engines used in industrial, agricultural, construction, and power generation applications worldwide.
-
D.
Wyman-Gordon
Wyman-Gordon is an industrial manufacturer known for producing high-strength forged components, particularly for the aerospace and energy industries.
-
E.
Couper
Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d228208190ba05eeb7707482fe |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640c48e688190981a19ce5eb2af44 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:42 p.m.