Triple
T807060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Theodore Stephens |
E17461
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Miles |
E17461
|
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 Theodore Stephens, givenName, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Miles Theodore Stephens, givenName, Miles]
-
A.
Miles Theodore Stephens
chosen
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
B.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
C.
de Mille
De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
-
D.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
-
E.
Moondog
Moondog is the energetic, dog-themed mascot of the NBA’s Cleveland Cavaliers, known for entertaining fans with stunts, dancing, and crowd interaction during games.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aac1142881908f6f78bfdb887930 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d83cf448190a2205cd777386833 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.