Triple
T6828993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Post |
E157087
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Sarah Broshar |
E332744
|
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: Sarah Broshar | Statement: [The Post, editor, Sarah Broshar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Broshar Context triple: [The Post, editor, Sarah Broshar]
-
A.
Sarah Broshar
chosen
Sarah Broshar is a film editor known for her work on major feature films, including collaborations with acclaimed directors.
-
B.
Erica Sherover
Erica Sherover was a scholar and activist best known as the partner and later wife of critical theorist Herbert Marcuse, with whom she collaborated intellectually and politically.
-
C.
Shauna Shipman
Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
-
D.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
E.
Kathryn Chetkovich
Kathryn Chetkovich is an American writer and essayist known for her fiction and for her widely discussed essay about envy and literary success.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6254bd88190a2a424537c2c12e2 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a543fb08190ad72c0a1f9927122 |
completed | March 29, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:18 p.m.