Triple
T645977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Dempsey |
E11242
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Miles |
E71664
|
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: Miles | Statement: [Miles Dempsey, givenName, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Miles Dempsey, givenName, Miles]
-
A.
Miles Theodore Stephens
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
B.
Myles
chosen
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
C.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
D.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
E.
Miles Aldridge
Miles Aldridge is a British fashion photographer and artist known for his highly stylized, vividly colored, and cinematic images.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1b24b08190897d8aedb877bd83 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57b5a0c0c81909aa3339d7ba62a0d |
completed | March 2, 2026, 11:58 a.m. |
Created at: March 1, 2026, 7:36 p.m.