Triple
T7994880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance |
E186098
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Lance Gross |
E387340
|
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: Lance Gross | Statement: [Lance, hasNotableBearer, Lance Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lance Gross Context triple: [Lance, hasNotableBearer, Lance Gross]
-
A.
Lance Gross
chosen
Lance Gross is an American actor best known for his roles in Tyler Perry’s films and television series, including the sitcom "House of Payne."
-
B.
Chad Franscoviak
Chad Franscoviak is an American recording engineer and producer best known for his longtime collaboration with John Mayer on several acclaimed albums.
-
C.
Justin Marks
Justin Marks is an American screenwriter best known for writing Disney's live-action adaptation of The Jungle Book (2016) and other film and television projects.
-
D.
Mike Henry
Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
-
E.
Joe Maross
Joe Maross was an American character actor known for his numerous film and television roles from the 1950s through the 1980s, including appearances in classic series like "The Twilight Zone."
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe105d400819096ba271416bb24e7 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:17 p.m.