Triple
T15142530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prom Night |
E361721
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Jessica Stroup |
E1141323
|
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: Jessica Stroup | Statement: [Prom Night, starredActor, Jessica Stroup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Stroup Context triple: [Prom Night, starredActor, Jessica Stroup]
-
A.
Jessica Stroup
chosen
Jessica Stroup is an American actress best known for her roles on the TV series 90210 and various horror and genre films and shows.
-
B.
Jess Stroup
Jess Stroup is a composer and musician known for creating the musical score for the film "A Haunted House."
-
C.
Lisa Reisert
Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
-
D.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
E.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755e0f2c819088293d8a55d7883a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:07 a.m.