Triple
T3240364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syl Apps |
E67950
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Carol Apps
Carol Apps is a member of the Apps family, known for its multi-generational legacy in Canadian professional ice hockey.
|
E341103
|
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: Carol Apps | Statement: [Syl Apps, child, Carol Apps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Apps Context triple: [Syl Apps, child, Carol Apps]
-
A.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
-
B.
Ann Todd
Ann Todd was a British actress best known for her roles in mid-20th-century films, particularly in psychological dramas and thrillers.
-
C.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
D.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
E.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
- 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: Carol Apps Triple: [Syl Apps, child, Carol Apps]
Generated description
Carol Apps is a member of the Apps family, known for its multi-generational legacy in Canadian professional ice hockey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol Apps Target entity description: Carol Apps is a member of the Apps family, known for its multi-generational legacy in Canadian professional ice hockey.
-
A.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
-
B.
Ann Todd
Ann Todd was a British actress best known for her roles in mid-20th-century films, particularly in psychological dramas and thrillers.
-
C.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
D.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
E.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef6430081909084589f6eea5c7e |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2774f93448190b8493b457636ae48 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b2786b7d388190ad0d97bd41a60543 |
completed | March 12, 2026, 8:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27c45f6b08190966fbc3fd28664ec |
completed | March 12, 2026, 8:41 a.m. |
Created at: March 8, 2026, 3:08 p.m.