Triple
T15861620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelley Fabares |
E384600
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fabares
Fabares is the surname of American actress and singer Shelley Fabares, known for her roles in television and film from the 1950s onward.
|
E1180852
|
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: Fabares | Statement: [Shelley Fabares, familyName, Fabares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabares Context triple: [Shelley Fabares, familyName, Fabares]
-
A.
Frank Ferrer
Frank Ferrer is an American rock drummer best known as the longtime drummer for the band Guns N' Roses.
-
B.
Ray Vitte
Ray Vitte was an American film and television actor active in the 1970s and early 1980s, known for supporting roles in comedies and dramas before his career was cut short by his death in 1983.
-
C.
Mel Ferrer
Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
-
D.
Eduardo Cansino
Eduardo Cansino was a Spanish-born dancer and choreographer best known as the father and early dance partner of Hollywood star Rita Hayworth.
-
E.
Val Ferrera
Val Ferrera is a remote alpine valley in southeastern Switzerland known for its rugged mountain scenery and traditional villages.
- 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: Fabares Triple: [Shelley Fabares, familyName, Fabares]
Generated description
Fabares is the surname of American actress and singer Shelley Fabares, known for her roles in television and film from the 1950s onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabares Target entity description: Fabares is the surname of American actress and singer Shelley Fabares, known for her roles in television and film from the 1950s onward.
-
A.
Frank Ferrer
Frank Ferrer is an American rock drummer best known as the longtime drummer for the band Guns N' Roses.
-
B.
Ray Vitte
Ray Vitte was an American film and television actor active in the 1970s and early 1980s, known for supporting roles in comedies and dramas before his career was cut short by his death in 1983.
-
C.
Mel Ferrer
Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
-
D.
Eduardo Cansino
Eduardo Cansino was a Spanish-born dancer and choreographer best known as the father and early dance partner of Hollywood star Rita Hayworth.
-
E.
Val Ferrera
Val Ferrera is a remote alpine valley in southeastern Switzerland known for its rugged mountain scenery and traditional villages.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555c75688190aeae5bcf5bb92bb7 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9439db481908be2f6d8a3cfbc85 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:50 a.m.