Triple
T14697888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caged Heat |
E345210
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Lynda Gold
Lynda Gold is an actress known for appearing in the 1974 women-in-prison exploitation film "Caged Heat."
|
E1113700
|
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: Lynda Gold | Statement: [Caged Heat, hasCastMember, Lynda Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynda Gold Context triple: [Caged Heat, hasCastMember, Lynda Gold]
-
A.
Lynda Dryden
Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
-
B.
Lynda Resnick
Lynda Resnick is an American billionaire businesswoman and philanthropist known for co-owning The Wonderful Company and for her extensive arts and cultural patronage.
-
C.
Liz Gold
Liz Gold is a young, idealistic British Communist who becomes romantically involved with Alec Leamas and is tragically drawn into the intricate espionage plot at the heart of John le Carré’s novel "The Spy Who Came in from the Cold."
-
D.
Lynda Bernhard
Lynda Bernhard is known as the wife of American film producer Harvey Bernhard.
-
E.
Lynda Price
Lynda Price is best known as the mother of Canadian professional ice hockey goaltender Carey Price.
- 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: Lynda Gold Triple: [Caged Heat, hasCastMember, Lynda Gold]
Generated description
Lynda Gold is an actress known for appearing in the 1974 women-in-prison exploitation film "Caged Heat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynda Gold Target entity description: Lynda Gold is an actress known for appearing in the 1974 women-in-prison exploitation film "Caged Heat."
-
A.
Lynda Dryden
Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
-
B.
Lynda Resnick
Lynda Resnick is an American billionaire businesswoman and philanthropist known for co-owning The Wonderful Company and for her extensive arts and cultural patronage.
-
C.
Liz Gold
Liz Gold is a young, idealistic British Communist who becomes romantically involved with Alec Leamas and is tragically drawn into the intricate espionage plot at the heart of John le Carré’s novel "The Spy Who Came in from the Cold."
-
D.
Lynda Bernhard
Lynda Bernhard is known as the wife of American film producer Harvey Bernhard.
-
E.
Lynda Price
Lynda Price is best known as the mother of Canadian professional ice hockey goaltender Carey Price.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde43698e881908226ae4907910249 |
completed | May 8, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde53290a48190b3701472bb4e3d63 |
completed | May 8, 2026, 1:29 p.m. |
Created at: April 10, 2026, 1:28 a.m.