Triple
T14617495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaela Kennedy-Cuomo |
E343122
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Michaela |
E534386
|
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: Michaela | Statement: [Michaela Kennedy-Cuomo, givenName, Michaela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaela Context triple: [Michaela Kennedy-Cuomo, givenName, Michaela]
-
A.
Michaela
chosen
Michaela is a feminine given name used in various languages, often considered the female form of Michael.
-
B.
Lucia
Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
-
C.
Valeria
Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
-
D.
Valeria
Valeria is the honorific epithet associated with the ancient Roman legion Legio XX Valeria Victrix, reflecting its distinguished status and achievements.
-
E.
Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.