Triple
T5916624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Mature |
E131595
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Frances Charles
Frances Charles was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
|
E557430
|
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: Frances Charles | Statement: [Victor Mature, spouse, Frances Charles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frances Charles Context triple: [Victor Mature, spouse, Frances Charles]
-
A.
Sylvia Miles
Sylvia Miles was an American actress best known for her Oscar-nominated supporting role as a jaded New York socialite in the film "Midnight Cowboy."
-
B.
Mary Shaw
Mary Shaw is a prominent American computer scientist renowned for her pioneering contributions to software architecture and software engineering research.
-
C.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
D.
Donna Dixon
Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
-
E.
Caroline Allpass
Caroline Allpass was the first wife of British Liberal Party leader Jeremy Thorpe, whose life was cut short in a car accident in the early 1970s.
- 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: Frances Charles Triple: [Victor Mature, spouse, Frances Charles]
Generated description
Frances Charles was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frances Charles Target entity description: Frances Charles was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
-
A.
Sylvia Miles
Sylvia Miles was an American actress best known for her Oscar-nominated supporting role as a jaded New York socialite in the film "Midnight Cowboy."
-
B.
Mary Shaw
Mary Shaw is a prominent American computer scientist renowned for her pioneering contributions to software architecture and software engineering research.
-
C.
Marilyn Vance
Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
-
D.
Donna Dixon
Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
-
E.
Caroline Allpass
Caroline Allpass was the first wife of British Liberal Party leader Jeremy Thorpe, whose life was cut short in a car accident in the early 1970s.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bcea9c8190a34dc03857e3b80b |
completed | March 22, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02c24cc8190a98d24f7445f59b7 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c19665b08190ab3c66b7c6c33f61 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4576824819080ced71df8fdda6c |
completed | March 23, 2026, 4:40 a.m. |
Created at: March 22, 2026, 3:59 p.m.