Triple
T2929682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Adler |
E78930
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Max Adler |
E78930
|
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: Max Adler | Statement: [Max Adler, name, Max Adler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Adler Context triple: [Max Adler, name, Max Adler]
-
A.
Max Adler
chosen
Max Adler was an American businessman and philanthropist best known for founding Chicago’s Adler Planetarium, the first planetarium in the Western Hemisphere.
-
B.
Stephen Endlicher
Stephen Endlicher was a 19th-century Austrian botanist and linguist known for his influential work in plant taxonomy and classification.
-
C.
Philip Steuer
Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
-
D.
Philip Brenner
Philip Brenner is a scholar and author known for his work on U.S. foreign policy and Latin American studies, often collaborating with historian James G. Blight.
-
E.
Daniel Auster
Daniel Auster was a prominent Zionist politician and lawyer who served as mayor of Jerusalem during the British Mandate period.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98002da4819098d6448eebcafad4 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b086703868819083eacc3fe392fde1 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:55 p.m.