Triple
T9360124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Leno |
E225255
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Leno |
E225255
|
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: Mark Leno | Statement: [Mark Leno, name, Mark Leno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Leno Context triple: [Mark Leno, name, Mark Leno]
-
A.
Mark Leno
chosen
Mark Leno is an American Democratic politician and former California state legislator known for representing San Francisco in both the State Assembly and State Senate.
-
B.
William Maher
William Maher is an American comedian, political commentator, and television host best known for his satirical talk show "Real Time with Bill Maher."
-
C.
Jay Leno
Jay Leno is an American comedian and longtime host of NBC’s “The Tonight Show,” known for his observational stand-up and prominent role in late-night television.
-
D.
Allen Ludden
Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
-
E.
Dennis Miller
Dennis Miller is an American stand-up comedian, talk show host, and actor known for his acerbic wit and work on Saturday Night Live and various political commentary programs.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff2ca9081908ccc88651640ed84 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3e27cac8190a48393fa4bdff6b8 |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:42 p.m.