Triple
T2873420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Lerner |
E56818
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Theodore Nathan Lerner |
E56818
|
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: Theodore Nathan Lerner | Statement: [Ted Lerner, fullName, Theodore Nathan Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theodore Nathan Lerner Context triple: [Ted Lerner, fullName, Theodore Nathan Lerner]
-
A.
Theodore N. Lerner
Theodore N. Lerner was an American real estate developer and principal owner of the Washington Nationals Major League Baseball team.
-
B.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
C.
Ted Lerner
chosen
Ted Lerner was an American real estate developer and principal owner of the Washington Nationals Major League Baseball team.
-
D.
Michael Lerner
Michael Lerner was an American character actor known for his prolific film and television career, including an Academy Award–nominated role in "Barton Fink."
-
E.
Neil Goldman
Neil Goldman is a recurring nerdy, socially awkward teenage character in the animated TV series "Family Guy," often portrayed as infatuated with Meg Griffin.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abdfe59ef88190b8bdfdd03e8965f3 |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc5553e08190b9a49f23bb29fcc4 |
completed | March 11, 2026, 5:23 a.m. |
Created at: March 6, 2026, 10:03 p.m.