Triple
T5989187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Jarre |
E133300
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laura Devon
Laura Devon was an American actress and singer active in film and television during the 1960s.
|
E561019
|
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: Laura Devon | Statement: [Maurice Jarre, spouse, Laura Devon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Devon Context triple: [Maurice Jarre, spouse, Laura Devon]
-
A.
Florence Dempsey
Florence Dempsey is a spirited young reporter character in the 1933 horror film "Mystery of the Wax Museum," known for her sharp wit and investigative tenacity.
-
B.
Ellen French
Ellen French was an American socialite from a prominent family, best known as the wife of wealthy businessman and sportsman Alfred Gwynne Vanderbilt.
-
C.
Bess Laurence
Bess Laurence is the daughter of Amy March and Laurie in Louisa May Alcott’s "Little Women" series, often portrayed as a sweet and musically gifted child.
-
D.
Hattie Shaw
Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
-
E.
Kathryn Erbe
Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
- 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: Laura Devon Triple: [Maurice Jarre, spouse, Laura Devon]
Generated description
Laura Devon was an American actress and singer active in film and television during the 1960s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Devon Target entity description: Laura Devon was an American actress and singer active in film and television during the 1960s.
-
A.
Florence Dempsey
Florence Dempsey is a spirited young reporter character in the 1933 horror film "Mystery of the Wax Museum," known for her sharp wit and investigative tenacity.
-
B.
Ellen French
Ellen French was an American socialite from a prominent family, best known as the wife of wealthy businessman and sportsman Alfred Gwynne Vanderbilt.
-
C.
Bess Laurence
Bess Laurence is the daughter of Amy March and Laurie in Louisa May Alcott’s "Little Women" series, often portrayed as a sweet and musically gifted child.
-
D.
Hattie Shaw
Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
-
E.
Kathryn Erbe
Kathryn Erbe is an American actress best known for her role as Detective Alexandra Eames on the television series "Law & Order: Criminal Intent."
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc76fd481908cc3f327e532a1a6 |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10854969c8190b9be249f26ad2f47 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c109bf2fb4819091915b2e10b629b8 |
completed | March 23, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10a5e061c81909e8085f3210452dc |
completed | March 23, 2026, 9:39 a.m. |
Created at: March 22, 2026, 4:04 p.m.