Triple
T7085926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Buck-Morss |
E165076
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Susan Buck-Morss |
E165076
|
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: Susan Buck-Morss | Statement: [Susan Buck-Morss, name, Susan Buck-Morss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Buck-Morss Context triple: [Susan Buck-Morss, name, Susan Buck-Morss]
-
A.
Susan Buck-Morss
chosen
Susan Buck-Morss is an American philosopher and critical theorist known for her work on Frankfurt School thought, visual culture, and global political modernity.
-
B.
David Hoberman
David Hoberman is an American film and television producer known for founding Mandeville Films and producing acclaimed movies such as "The Fighter."
-
C.
Leo Steinberg
Leo Steinberg was a prominent 20th-century art historian and critic known for his influential writings on Renaissance and modern art, including groundbreaking studies of Michelangelo and Picasso.
-
D.
Robert Homans
Robert Homans was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films.
-
E.
Michael Kammen
Michael Kammen was an American historian renowned for his work on U.S. cultural history and collective memory, and a Pulitzer Prize-winning author.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e512bda88190920ecb54b177e569 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79484a644819091fac0e361f77c91 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:41 p.m.