Triple
T3150535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coneheads (1993 film) |
E65865
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Michelle Burke
Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
|
E343427
|
NE FINISHED |
How this triple was built (4 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: Michelle Burke | Statement: [Coneheads (1993 film), stars, Michelle Burke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Burke Context triple: [Coneheads (1993 film), stars, Michelle Burke]
-
A.
Kathryn Murphy
Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
-
B.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
C.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
D.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
E.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michelle Burke Triple: [Coneheads (1993 film), stars, Michelle Burke]
Generated description
Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Burke Target entity description: Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
-
A.
Kathryn Murphy
Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
-
B.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
C.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
D.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
E.
Laura Jarrett
Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
- F. None of above. chosen
Provenance (5 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e81ab30481909d73aed49d4192a3 |
completed | March 12, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_69b2e88b704881909e3361b92c52596f |
completed | March 12, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e921e7708190985e71319c0becf8 |
completed | March 12, 2026, 4:26 p.m. |
Created at: March 8, 2026, 3:05 p.m.