Triple
T15142532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prom Night |
E361721
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Dana Davis |
E1145788
|
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: Dana Davis | Statement: [Prom Night, starredActor, Dana Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Davis Context triple: [Prom Night, starredActor, Dana Davis]
-
A.
Dana Davis
chosen
Dana Davis is an American actress and author known for her roles in television series such as "Heroes," "10 Things I Hate About You," and "Franklin & Bash."
-
B.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
C.
Karen Davis
Karen Davis is the central protagonist of the American horror film "The Grudge," a nurse who becomes entangled in a deadly supernatural curse in Tokyo.
-
D.
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
E.
Emily Davis
Emily Davis is a playable character in the interactive horror video game "Until Dawn," known for her sharp wit, assertive personality, and complex relationships within the group of friends.
- 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_69feef64dbfc819098dac50500673ed4 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:07 a.m.