Triple
T3194615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-God |
E66904
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lamont |
E212775
|
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: Lamont | Statement: [U-God, givenName, Lamont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamont Context triple: [U-God, givenName, Lamont]
-
A.
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
-
B.
Lamont Bentley
chosen
Lamont Bentley was an American actor best known for his role as Hakeem Campbell on the 1990s television sitcom "Moesha."
-
C.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
D.
Vermont-Slauson
Vermont-Slauson is a predominantly residential and commercial neighborhood in South Los Angeles known for its diverse community and urban character.
-
E.
Tilden
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada714dbcc8190a7ad21b3c957f151 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bae63688190b2a1a1dba8b2cffa |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.