Triple
T13702496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Doll House |
E328553
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Karen McKevic
Karen McKevic is an actress known for her role in the 1971 women-in-prison exploitation film "The Big Doll House."
|
E1142972
|
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: Karen McKevic | Statement: [The Big Doll House, starring, Karen McKevic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen McKevic Context triple: [The Big Doll House, starring, Karen McKevic]
-
A.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
B.
Kate McKay
Kate McKay is the ambitious, modern-day career woman and romantic lead portrayed by Meg Ryan in the time-travel romantic comedy film "Kate & Leopold."
-
C.
Alissa McKersie
Alissa McKersie is a science fiction fan and fanzine editor known for her work on the Hugo Award-winning fanzine Journey Planet.
-
D.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
-
E.
Karen Vick
Karen Vick is a fictional police chief on the TV series "Psych," known for overseeing the Santa Barbara Police Department and managing the antics of Shawn Spencer and Burton Guster.
- 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: Karen McKevic Triple: [The Big Doll House, starring, Karen McKevic]
Generated description
Karen McKevic is an actress known for her role in the 1971 women-in-prison exploitation film "The Big Doll House."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen McKevic Target entity description: Karen McKevic is an actress known for her role in the 1971 women-in-prison exploitation film "The Big Doll House."
-
A.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
B.
Kate McKay
Kate McKay is the ambitious, modern-day career woman and romantic lead portrayed by Meg Ryan in the time-travel romantic comedy film "Kate & Leopold."
-
C.
Alissa McKersie
Alissa McKersie is a science fiction fan and fanzine editor known for her work on the Hugo Award-winning fanzine Journey Planet.
-
D.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
-
E.
Karen Vick
Karen Vick is a fictional police chief on the TV series "Psych," known for overseeing the Santa Barbara Police Department and managing the antics of Shawn Spencer and Burton Guster.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed47c88d08190a4396b955c9bb388 |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed50956408190b1426d578803974e |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 9, 2026, 9:54 p.m.