Triple
T2318150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Aldridge |
E51112
|
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 Aldridge, givenName, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Miles Aldridge, givenName, Miles]
-
A.
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
B.
Miles
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
-
C.
Miles Theodore Stephens
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
D.
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.
-
E.
Myles
chosen
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
- 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.