Triple
T14861370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Fox |
E349498
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Betty Fox
Betty Fox was a Canadian humanitarian and the mother of cancer research activist Terry Fox, known for her extensive work continuing her son's legacy through the Terry Fox Foundation.
|
E1123683
|
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: Betty Fox | Statement: [Terry Fox, parent, Betty Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Fox Context triple: [Terry Fox, parent, Betty Fox]
-
A.
Bettey
Bettey is a given name, likely a variant spelling of the name Betty.
-
B.
Rebecca Rabbit
Rebecca Rabbit is a cheerful, carrot-loving rabbit who appears as one of Peppa Pig’s close friends in the British animated children’s television series.
-
C.
Kitty Winn
Kitty Winn is an American actress best known for her roles in 1970s films, including her acclaimed performance in "The Exorcist" and its sequel.
-
D.
Kitty Darling
Kitty Darling is a fictional character known for appearing in the stage production "Applause."
-
E.
Trixie Delight
Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
- 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: Betty Fox Triple: [Terry Fox, parent, Betty Fox]
Generated description
Betty Fox was a Canadian humanitarian and the mother of cancer research activist Terry Fox, known for her extensive work continuing her son's legacy through the Terry Fox Foundation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Fox Target entity description: Betty Fox was a Canadian humanitarian and the mother of cancer research activist Terry Fox, known for her extensive work continuing her son's legacy through the Terry Fox Foundation.
-
A.
Bettey
Bettey is a given name, likely a variant spelling of the name Betty.
-
B.
Rebecca Rabbit
Rebecca Rabbit is a cheerful, carrot-loving rabbit who appears as one of Peppa Pig’s close friends in the British animated children’s television series.
-
C.
Kitty Winn
Kitty Winn is an American actress best known for her roles in 1970s films, including her acclaimed performance in "The Exorcist" and its sequel.
-
D.
Kitty Darling
Kitty Darling is a fictional character known for appearing in the stage production "Applause."
-
E.
Trixie Delight
Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650c41b081909cdadbaec472eee3 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66218cb88190b8c86b359abaa14c |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66de57cc8190935d764d399f56f5 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:54 a.m.