Triple
T6868435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milo Arthur Johnson |
E158475
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Milo |
E558663
|
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: Milo | Statement: [Milo Arthur Johnson, givenName, Milo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milo Context triple: [Milo Arthur Johnson, givenName, Milo]
-
A.
Milo
Milo is a small town located in Yates County in the Finger Lakes region of New York State.
-
B.
Milo
Milo is a writer best known for contributing to the song "Young, Wild & Free."
-
C.
Milo
chosen
Milo is a masculine given name commonly used as a short or affectionate form of longer names such as Emilio.
-
D.
Milo
Milo is a popular chocolate and malt powdered drink brand produced by Nestlé and widely consumed around the world, especially by children and athletes.
-
E.
Milchick
Milchick is a key character in the psychological sci-fi series "Severance," serving as a devoted and unsettling middle-management figure overseeing the severed employees at Lumon Industries.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a793a481909340239c065393a4 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74299ae148190a56c7b1ee8829f40 |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:21 p.m.