Triple
T14861585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Kylea Cowie Jr. |
E349503
|
entity |
| Predicate | occupation |
P3
|
FINISHED |
| Object | MC |
E451619
|
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: MC | Statement: [Richard Kylea Cowie Jr., occupation, MC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MC Context triple: [Richard Kylea Cowie Jr., occupation, MC]
-
A.
MC
MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
-
B.
MC
MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
-
C.
MC
chosen
MC is a hip-hop master of ceremonies responsible for rapping, hosting, and energizing a crowd during performances or events.
-
D.
MC
MC is the commonly used abbreviation for Middlesex College, a public community college located in New Jersey.
-
E.
MC
MC is the commonly used abbreviation for Marlborough College, a prestigious independent boarding and day school in Wiltshire, England.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650c41b081909cdadbaec472eee3 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.