Triple
T15992455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Henwick |
E387866
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Jessika Pava |
E704819
|
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: Jessika Pava | Statement: [Jessica Henwick, playedCharacter, Jessika Pava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessika Pava Context triple: [Jessica Henwick, playedCharacter, Jessika Pava]
-
A.
Jessika Pava
chosen
Jessika Pava is a skilled X-wing pilot in the Star Wars sequel trilogy who serves in the Resistance’s starfighter corps.
-
B.
Amanda Pacheco
Amanda Pacheco is an American model and divemaster who has gained public attention through her relationship with actor Wilmer Valderrama.
-
C.
Daniella García
Daniella García is a member of the García-Lorido family, known for its ties to the entertainment industry through actor Andy García and actress Dominik García-Lorido.
-
D.
Jessica Sula
Jessica Sula is a Welsh actress best known for her roles in the British teen drama "Skins" and various American film and television projects.
-
E.
Daniella Pineda
Daniella Pineda is an American actress known for her roles in film and television, including major parts in genre projects like Jurassic World: Fallen Kingdom and the live-action Cowboy Bebop series.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157844ed881908b42bfc1bb740d4e |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc8a8a081908ac1b431f524d650 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:54 a.m.