Triple
T10528374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montel Jordan |
E248366
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Montel Jordan |
E248366
|
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: Montel Jordan | Statement: [Montel Jordan, name, Montel Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montel Jordan Context triple: [Montel Jordan, name, Montel Jordan]
-
A.
Montel Jordan
chosen
Montel Jordan is an American R&B singer, songwriter, and record producer best known for his 1995 hit single "This Is How We Do It."
-
B.
Montel Williams
Montel Williams is an American television personality and former talk show host best known for his long-running syndicated program "The Montel Williams Show."
-
C.
Mika Guillory
Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
-
D.
Cam Gigandet
Cam Gigandet is an American actor known for his roles in films such as "Twilight," "Never Back Down," and various television series.
-
E.
Michael Stahl-David
Michael Stahl-David is an American actor best known for his leading role in the found-footage monster film "Cloverfield."
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f6f4a88190ae6e0cc0bcbff0c5 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:30 p.m.