Triple
T12483534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Friedlander |
E298373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Friedlander |
E799607
|
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: Friedlander | Statement: [Lee Friedlander, familyName, Friedlander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedlander Context triple: [Lee Friedlander, familyName, Friedlander]
-
A.
Friedlander
chosen
Friedlander is a surname most notably associated with American comedian and actor Judah Friedlander, known for his deadpan style and trademark trucker hats.
-
B.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
-
C.
Ussishkin
Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
-
D.
Friesz
Friesz is a surname most notably associated with the French Fauvist painter Othon Friesz.
-
E.
Rubenfeld
Rubenfeld is a surname most notably associated with American actor and comedian Paul Reubens, best known for creating and portraying the character Pee-wee Herman.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcef6548190a6d29375bdabd17d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f29307c8190b024d889d45ba9f7 |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.