Triple
T15368353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire State |
E367473
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Jake Pushinsky
Jake Pushinsky is a film editor and sound designer known for his work on independent and feature films.
|
E1152831
|
NE FINISHED |
How this triple was built (4 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: Jake Pushinsky | Statement: [Empire State, editedBy, Jake Pushinsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Pushinsky Context triple: [Empire State, editedBy, Jake Pushinsky]
-
A.
Joshua Russaw
Joshua Russaw is the son of American R&B singer Faith Evans and her former husband, music producer Todd Russaw.
-
B.
Josh Berman
Josh Berman is an American television writer and producer known for creating and working on several popular drama and dramedy series.
-
C.
Josh Berman
Josh Berman is an American entrepreneur best known as a co-founder of the pioneering social networking site MySpace.
-
D.
Avi Tuschman
Avi Tuschman is a political scientist and author known for his work on the evolutionary origins of political ideology and contributions to popular science and policy discussions.
-
E.
Jared Bernstein
Jared Bernstein is an American economist and policy advisor who has served in prominent roles shaping U.S. economic policy, including as a key advisor in the Obama and Biden administrations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jake Pushinsky Triple: [Empire State, editedBy, Jake Pushinsky]
Generated description
Jake Pushinsky is a film editor and sound designer known for his work on independent and feature films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Pushinsky Target entity description: Jake Pushinsky is a film editor and sound designer known for his work on independent and feature films.
-
A.
Joshua Russaw
Joshua Russaw is the son of American R&B singer Faith Evans and her former husband, music producer Todd Russaw.
-
B.
Josh Berman
Josh Berman is an American entrepreneur best known as a co-founder of the pioneering social networking site MySpace.
-
C.
Josh Berman
Josh Berman is an American television writer and producer known for creating and working on several popular drama and dramedy series.
-
D.
Avi Tuschman
Avi Tuschman is a political scientist and author known for his work on the evolutionary origins of political ideology and contributions to popular science and policy discussions.
-
E.
Jared Bernstein
Jared Bernstein is an American economist and policy advisor who has served in prominent roles shaping U.S. economic policy, including as a key advisor in the Obama and Biden administrations.
- F. None of above. chosen
Provenance (5 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b50703881909ca71c985bc1c7b5 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0cb1b9188190b0eb99661d26206f |
completed | May 9, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0d3182f08190abd463d921e1830e |
completed | May 9, 2026, 10:32 a.m. |
Created at: April 10, 2026, 3:18 a.m.