Triple
T14697884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caged Heat |
E345210
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Ella Reid
Ella Reid is an actress known for her role in the women-in-prison exploitation film "Caged Heat."
|
E1118179
|
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: Ella Reid | Statement: [Caged Heat, hasCastMember, Ella Reid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Reid Context triple: [Caged Heat, hasCastMember, Ella Reid]
-
A.
Ella Dixon
Ella Dixon is the daughter of American actress Jennifer Beals and her husband, Ken Dixon.
-
B.
Ella Watson
Ella Watson is a central character in Michael Cimino’s 1980 Western epic film "Heaven’s Gate," around whom much of the movie’s romantic and political conflict revolves.
-
C.
Leila Williams
Leila Williams is a troubled former submissive of Christian Grey whose obsessive behavior and psychological instability create a major source of tension and danger in the Fifty Shades series.
-
D.
Alisha Bailey
Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
-
E.
Ella Purnell
Ella Purnell is a British actress known for roles in films like "Miss Peregrine's Home for Peculiar Children" and series such as "Yellowjackets" and "Fallout."
- 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: Ella Reid Triple: [Caged Heat, hasCastMember, Ella Reid]
Generated description
Ella Reid is an actress known for her role in the women-in-prison exploitation film "Caged Heat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ella Reid Target entity description: Ella Reid is an actress known for her role in the women-in-prison exploitation film "Caged Heat."
-
A.
Ella Dixon
Ella Dixon is the daughter of American actress Jennifer Beals and her husband, Ken Dixon.
-
B.
Ella Watson
Ella Watson is a central character in Michael Cimino’s 1980 Western epic film "Heaven’s Gate," around whom much of the movie’s romantic and political conflict revolves.
-
C.
Leila Williams
Leila Williams is a troubled former submissive of Christian Grey whose obsessive behavior and psychological instability create a major source of tension and danger in the Fifty Shades series.
-
D.
Alisha Bailey
Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
-
E.
Ella Purnell
Ella Purnell is a British actress known for roles in films like "Miss Peregrine's Home for Peculiar Children" and series such as "Yellowjackets" and "Fallout."
- 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_69fe0cdfb09481908021a3fc92962a00 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1256241881909b62655a5e1d9332 |
completed | May 8, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1347c6c48190b1681ac5f5308f19 |
completed | May 8, 2026, 4:45 p.m. |
Created at: April 10, 2026, 1:28 a.m.