Triple
T16032020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie |
E388868
|
entity |
| Predicate | hasNotableBearerGivenName |
P110784
|
FINISHED |
| Object | Reggie Lee |
E1102073
|
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: Reggie Lee | Statement: [Reggie, hasNotableBearerGivenName, Reggie Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reggie Lee Context triple: [Reggie, hasNotableBearerGivenName, Reggie Lee]
-
A.
Reggie Lee
chosen
Reggie Lee is a Filipino-American actor best known for his role as Sergeant Drew Wu on the supernatural drama series "Grimm."
-
B.
Reggie Perry
Reggie Perry is an American professional basketball player known for his collegiate career at Mississippi State and subsequent stints in the NBA and overseas leagues.
-
C.
Reggie Perry
Reggie Perry is a music producer known for his work on the song "All of Me."
-
D.
Reginald Jones
Reginald Jones was an influential American business executive and former CEO of General Electric, known for his leadership in corporate governance and economic policy.
-
E.
Carvin Haggins
Carvin Haggins is an American songwriter and record producer best known for his work in R&B and neo-soul, including collaborations with artists like Musiq Soulchild and Jill Scott.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e21a00f6808190a60939ef7ce727a7 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd1cafc81909125174eed475d55 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.