Triple
T4378073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael |
E99056
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Micheal |
E115807
|
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: Micheal | Statement: [Mikael, relatedName, Micheal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micheal Context triple: [Mikael, relatedName, Micheal]
-
A.
Micheal
chosen
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
B.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
-
C.
Michael’s
Michael’s is a national arts and crafts retail chain known for selling hobby supplies, home décor, and DIY project materials.
-
D.
Michael William
Michael William is the given name of Michael William Balfe, a 19th-century Irish composer best known for his operas such as "The Bohemian Girl."
-
E.
MIKE
MIKE is a high-resolution optical spectrograph used on the Magellan Telescopes for detailed astronomical spectroscopy.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35240092c81908e26ff607d665e7a |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e51907688190ad964d341eb84529 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:18 p.m.