Triple
T21061120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Grossman |
E518848
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sally Grossman |
—
|
NE NERFINISHED |
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: Sally Grossman | Statement: [Sally Grossman, name, Sally Grossman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Grossman Context triple: [Sally Grossman, name, Sally Grossman]
-
A.
Sally Grossman
chosen
Sally Grossman was an American figure in the 1960s folk and rock scene, best known for appearing on the iconic cover of Bob Dylan’s album "Bringing It All Back Home."
-
B.
Sally Greenberg
Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
-
C.
Nora Grossman
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
-
D.
Sally Pressman
Sally Pressman is an American actress best known for her starring role as Roxy LeBlanc on the television drama series "Army Wives."
-
E.
Marla Sokoloff
Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feaf3edc81909423e039cac6bd87 |
completed | April 21, 2026, 4:35 a.m. |
Created at: April 16, 2026, 2:38 p.m.