Triple
T10225946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milo William Langdon |
E243202
|
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 William Langdon, givenName, Milo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milo Context triple: [Milo William Langdon, givenName, Milo]
-
A.
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.
-
B.
Milo
Milo is a writer best known for contributing to the song "Young, Wild & Free."
-
C.
Milo
Milo is a small town located in Yates County in the Finger Lakes region of New York State.
-
D.
Milo
Milo is a ruthless and calculating villain who serves as the primary antagonist in the 1991 action film "The Last Boy Scout."
-
E.
Milo
chosen
Milo is a masculine given name commonly used as a short or affectionate form of longer names such as Emilio.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:17 a.m.