Triple
T10175132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelo Adkins |
E235832
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Angelo Adkins |
E235832
|
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: Angelo Adkins | Statement: [Angelo Adkins, name, Angelo Adkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelo Adkins Context triple: [Angelo Adkins, name, Angelo Adkins]
-
A.
Angelo Adkins
chosen
Angelo Adkins is the son of English singer-songwriter Adele and her former partner Simon Konecki.
-
B.
Angelo Taylor
Angelo Taylor is an American track and field athlete best known as a two-time Olympic gold medalist in the 400-meter hurdles.
-
C.
Antonio Dixon
Antonio Dixon is an American record producer and songwriter known for his work in contemporary R&B and pop music with prominent artists.
-
D.
Cedric Yarbrough
Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
-
E.
Roger Clemons
Roger Clemons is an individual best known as the person associated with the use of the entity named Clemons.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd26a8c8190a391b9d5e47ebb72 |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3178844c48190af952ac30a4d6d97 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:11 p.m.