Triple
T20558458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Szohr |
E504781
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | Vanessa Abrams |
—
|
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: Vanessa Abrams | Statement: [Jessica Szohr, characterRole, Vanessa Abrams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Abrams Context triple: [Jessica Szohr, characterRole, Vanessa Abrams]
-
A.
Vanessa Abrams
chosen
Vanessa Abrams is a socially conscious, bohemian filmmaker and Dan Humphrey’s longtime friend and love interest on the television series "Gossip Girl."
-
B.
Vanessa Brown
Vanessa Brown was an Austrian-born American actress known for her work in mid-20th-century Hollywood films, radio, and stage productions.
-
C.
Vanessa Howard
Vanessa Howard was a British actress known for her roles in 1960s and 1970s horror and exploitation films, including "The Blood Beast Terror" and "Mumsy, Nanny, Sonny & Girly."
-
D.
Vanessa Roth
Vanessa Roth is an Academy Award-winning American documentary filmmaker known for her socially conscious films and work in education and social justice.
-
E.
Vanessa Woods
Vanessa Woods is an Australian science writer and researcher known for her work on primate cognition and her popular science books about dogs, bonobos, and human evolution.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5df84088190848c7eb35564d8f9 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.