Triple
T13596991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Lerner |
E324846
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Lerner Enterprises |
E19812
|
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: Lerner Enterprises | Statement: [Mark Lerner, employer, Lerner Enterprises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerner Enterprises Context triple: [Mark Lerner, employer, Lerner Enterprises]
-
A.
Lerner Enterprises
chosen
Lerner Enterprises is a major privately held real estate development and management company based in the Washington, D.C. metropolitan area.
-
B.
The Tisch Company
The Tisch Company is a film production company best known for producing the acclaimed 1994 drama "Forrest Gump."
-
C.
Carsey-Werner Company
Carsey-Werner Company is an American television production company best known for creating and producing hit sitcoms such as The Cosby Show, Roseanne, and 3rd Rock from the Sun.
-
D.
Hulman & Company
Hulman & Company is an American holding company best known for its longtime ownership and operation of the Indianapolis Motor Speedway and the Indianapolis 500.
-
E.
Lee Enterprises
Lee Enterprises is a major American media company that owns and operates numerous newspapers and digital publications across the United States.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0590558819080ccc5874a650b1e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc99dac8190bc267fdf405e8d58 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.