Triple
T15835717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Rattner |
E383978
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steven Rattner |
E383978
|
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: Steven Rattner | Statement: [Steven Rattner, name, Steven Rattner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Rattner Context triple: [Steven Rattner, name, Steven Rattner]
-
A.
Steven Rattner
chosen
Steven Rattner is an American financier and former journalist best known for serving as the lead adviser to the U.S. government during the 2009 auto industry bailout.
-
B.
Steve Berman
Steve Berman is a computer scientist and entrepreneur best known as a co-founder of the pioneering artificial intelligence company Symbolics.
-
C.
Joseph Ratner
Joseph Ratner was a philosopher and editor known for his work on and promotion of the ideas of American pragmatist John Dewey.
-
D.
Howard Ratner
Howard Ratner is a fast-talking, compulsive New York City jeweler and gambling addict whose risky schemes drive the intense, chaotic plot of the film *Uncut Gems*.
-
E.
Eric Rosse
Eric Rosse is an American record producer and songwriter best known for his work with artists like Tori Amos and Sara Bareilles.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e0e1cc8190851b30b03cf9c9b8 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.