Triple
T20949578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League: Crisis on Two Earths |
E515942
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Vanessa Marshall |
—
|
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 Marshall | Statement: [Justice League: Crisis on Two Earths, voiceActor, Vanessa Marshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Marshall Context triple: [Justice League: Crisis on Two Earths, voiceActor, Vanessa Marshall]
-
A.
Vanessa Marshall
chosen
Vanessa Marshall is an American voice actress best known for her extensive work in animation and video games, including major roles in the Star Wars franchise.
-
B.
Jennifer Sorrell
Jennifer Sorrell is best known as the wife of acclaimed Indian-British actor Saeed Jaffrey.
-
C.
Dawn Butler
Dawn Butler is a British Labour Party politician who has served as the Member of Parliament for Brent Central and is known for her advocacy on equality and social justice issues.
-
D.
Angela Quarles
Angela Quarles is a contemporary American author best known for her time-travel and paranormal romance novels.
-
E.
Kimberly Woodard
Kimberly Woodard is a television producer best known for her executive production work on the live law-enforcement reality series "Live PD."
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadc08148190b4ff710f94462a26 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:18 p.m.