Triple
T918059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Lerner |
E19815
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Lerner | Statement: [Ted Lerner, familyName, Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerner Context triple: [Ted Lerner, familyName, Lerner]
-
A.
Ted Lerner
chosen
Ted Lerner was an American real estate developer and principal owner of the Washington Nationals Major League Baseball team.
-
B.
Lester
Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
-
C.
Lester
Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
-
D.
David Learner
David Learner is a British actor best known for physically portraying Marvin the Paranoid Android in the BBC television adaptation of "The Hitchhiker's Guide to the Galaxy."
-
E.
Leonard
Leonard is a masculine given name of Germanic origin, commonly used in English-speaking countries and borne by numerous notable figures in arts, sports, and public life.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2fa7b0081909155afc12c1ab630 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf62b05c8190b348ccf1e527d38a |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:40 p.m.