Triple
T16007857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Season 2 (Fringe) |
E388262
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Nina Sharp |
E415992
|
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: Nina Sharp | Statement: [Season 2 (Fringe), featuresCharacter, Nina Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Sharp Context triple: [Season 2 (Fringe), featuresCharacter, Nina Sharp]
-
A.
Nina Sharp
chosen
Nina Sharp is a high-ranking executive at Massive Dynamic and a key figure in the science-fiction TV series "Fringe," known for her complex moral ambiguity and deep involvement in the show's fringe science conspiracies.
-
B.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
C.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
D.
Daniela Ruah
Daniela Ruah is a Portuguese-American actress best known for playing Special Agent Kensi Blye on the television series "NCIS: Los Angeles."
-
E.
Jessica Darrow
Jessica Darrow is an American actress and singer best known for voicing Luisa Madrigal and performing the hit song "Surface Pressure" in Disney's animated film Encanto.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800e3608190bd3e1123ccc6c326 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec329488190ab4269b6d94a983d |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:55 a.m.