Triple
T2318149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Aldridge |
E51112
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Miles Aldridge |
E51112
|
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 Aldridge | Statement: [Miles Aldridge, name, Miles Aldridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Aldridge Context triple: [Miles Aldridge, name, Miles Aldridge]
-
A.
Miles Aldridge
chosen
Miles Aldridge is a British fashion photographer and artist known for his highly stylized, vividly colored, and cinematic images.
-
B.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
-
C.
Jaisal Andrews
Jaisal Andrews is the son of British actor Naveen Andrews, known for his role on the television series "Lost."
-
D.
Miles Hendon
Miles Hendon is a loyal and chivalrous English gentleman who befriends and protects the young Prince Edward in Mark Twain’s classic tale "The Prince and the Pauper."
-
E.
Alec Radford
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62fa60c8190b4859ce296ea4177 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8966cc0c819092ad299645b0aa71 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.