Triple
T21159018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loretta |
E521385
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Loretta Jafelice
Loretta Jafelice is a Canadian voice actress known for her work in animated television series and English dubs of anime.
|
E1470300
|
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: Loretta Jafelice | Statement: [Loretta, hasNotableBearer, Loretta Jafelice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loretta Jafelice Context triple: [Loretta, hasNotableBearer, Loretta Jafelice]
-
A.
Loretta Sebena
Loretta Sebena was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
-
B.
Loretta Tofani
Loretta Tofani is an American investigative journalist and Pulitzer Prize winner known for her in-depth reporting on social justice and human rights issues.
-
C.
Loretta Jamison
Loretta Jamison is a character in the horror film "The Visit," serving as one of the unsettling elderly relatives central to the movie’s suspense and mystery.
-
D.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
E.
Loretta Stinson
Loretta Stinson is a recurring character on the sitcom "How I Met Your Mother," known as Barney Stinson’s outspoken and overbearing mother.
- 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: Loretta Jafelice Triple: [Loretta, hasNotableBearer, Loretta Jafelice]
Generated description
Loretta Jafelice is a Canadian voice actress known for her work in animated television series and English dubs of anime.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loretta Jafelice Target entity description: Loretta Jafelice is a Canadian voice actress known for her work in animated television series and English dubs of anime.
-
A.
Loretta Sebena
Loretta Sebena was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
-
B.
Loretta Tofani
Loretta Tofani is an American investigative journalist and Pulitzer Prize winner known for her in-depth reporting on social justice and human rights issues.
-
C.
Loretta Jamison
Loretta Jamison is a character in the horror film "The Visit," serving as one of the unsettling elderly relatives central to the movie’s suspense and mystery.
-
D.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
E.
Loretta Stinson
Loretta Stinson is a recurring character on the sitcom "How I Met Your Mother," known as Barney Stinson’s outspoken and overbearing mother.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252e9ef481908f4904c535f3da8b |
completed | April 21, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09756bc7c48190933b1d92f2acc5e5 |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a09764338fc8190be908a6fa9457d18 |
completed | May 17, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0978016f188190b8e2d2c7b1b01977 |
completed | May 17, 2026, 8:10 a.m. |
Created at: April 16, 2026, 2:59 p.m.