Triple
T18387289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caged |
E446623
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Marie Allen
Marie Allen is the naive young woman whose harrowing transformation behind bars drives the narrative of the classic women-in-prison film "Caged."
|
E1411364
|
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: Marie Allen | Statement: [Caged, mainCharacter, Marie Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Allen Context triple: [Caged, mainCharacter, Marie Allen]
-
A.
Fanny Allen
Fanny Allen was the daughter of American Revolutionary War hero Ethan Allen and became notable as one of the first New England women to join a Catholic religious order.
-
B.
Marie Alweather
Marie Alweather is a character from the animated film "Paulie," appearing as part of the story surrounding the talking parrot's adventures.
-
C.
Marie Allison
Marie Allison was the wife of legendary American jazz drummer and bandleader Buddy Rich.
-
D.
Marie McDonald
Marie McDonald was an American singer and film actress of the 1940s and 1950s, nicknamed "The Body" for her glamorous pin-up image.
-
E.
Helene Allen
Helene Allen was the wife of longtime White House butler Eugene Allen, whose life inspired the film "The Butler."
- 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: Marie Allen Triple: [Caged, mainCharacter, Marie Allen]
Generated description
Marie Allen is the naive young woman whose harrowing transformation behind bars drives the narrative of the classic women-in-prison film "Caged."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marie Allen Target entity description: Marie Allen is the naive young woman whose harrowing transformation behind bars drives the narrative of the classic women-in-prison film "Caged."
-
A.
Fanny Allen
Fanny Allen was the daughter of American Revolutionary War hero Ethan Allen and became notable as one of the first New England women to join a Catholic religious order.
-
B.
Marie Alweather
Marie Alweather is a character from the animated film "Paulie," appearing as part of the story surrounding the talking parrot's adventures.
-
C.
Marie Allison
Marie Allison was the wife of legendary American jazz drummer and bandleader Buddy Rich.
-
D.
Marie McDonald
Marie McDonald was an American singer and film actress of the 1940s and 1950s, nicknamed "The Body" for her glamorous pin-up image.
-
E.
Helene Allen
Helene Allen was the wife of longtime White House butler Eugene Allen, whose life inspired the film "The Butler."
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0826eddda88190bb494d4ebed085ac |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a0828f7ea4c81909bd87b4772096d29 |
completed | May 16, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0829c935708190978ed4e447c12585 |
completed | May 16, 2026, 8:24 a.m. |
Created at: April 10, 2026, 10:46 a.m.