Triple
T11046598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Frighteners |
E261151
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Dee Wallace |
E178872
|
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: Dee Wallace | Statement: [The Frighteners, castMember, Dee Wallace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Wallace Context triple: [The Frighteners, castMember, Dee Wallace]
-
A.
Dee Wallace
chosen
Dee Wallace is an American actress best known for her role as the mother in the classic science-fiction film "E.T. the Extra-Terrestrial."
-
B.
Marcia Wallace
Marcia Wallace was an American actress and comedian best known for her roles as the witty receptionist Carol Kester on television and as the voice of Edna Krabappel on "The Simpsons."
-
C.
JoBeth Williams
JoBeth Williams is an American actress known for her roles in films such as "Poltergeist," "The Big Chill," and numerous television movies and series.
-
D.
Dana Plato
Dana Plato was an American actress best known for playing Kimberly Drummond on the television sitcom "Diff'rent Strokes."
-
E.
Jamie Lee Curtis
Jamie Lee Curtis is an American actress and author renowned for her versatile film career spanning horror classics like "Halloween" and acclaimed dramatic and comedic roles.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798307da481908996557a73c9b49a |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9fad8248190810e097d148655f5 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.