Triple
T21861867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Kain |
E539781
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ross Petty
Ross Petty is a Canadian theatre producer and former actor best known for his long-running, family-oriented pantomime productions in Toronto.
|
E1505519
|
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: Ross Petty | Statement: [Karen Kain, spouse, Ross Petty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Petty Context triple: [Karen Kain, spouse, Ross Petty]
-
A.
Peter Ford
Peter Ford is the son of classic Hollywood actor Glenn Ford and has worked as an actor, producer, and biographer of his father.
-
B.
Eddie Garrett
Eddie Garrett is a compulsive gambler and small-time hustler who becomes entangled in a risky scheme in the film "Win It All."
-
C.
Chet Roberts
Chet Roberts is an American guitarist best known as a member of the rock band 3 Doors Down.
-
D.
Tommy Rall
Tommy Rall was an American actor and exceptionally skilled dancer best known for his athletic, acrobatic performances in classic Hollywood musicals of the 1950s.
-
E.
Frank Ford
Frank Ford is a relatively obscure individual whose specific notability is unclear from the given information alone.
- 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: Ross Petty Triple: [Karen Kain, spouse, Ross Petty]
Generated description
Ross Petty is a Canadian theatre producer and former actor best known for his long-running, family-oriented pantomime productions in Toronto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ross Petty Target entity description: Ross Petty is a Canadian theatre producer and former actor best known for his long-running, family-oriented pantomime productions in Toronto.
-
A.
Peter Ford
Peter Ford is the son of classic Hollywood actor Glenn Ford and has worked as an actor, producer, and biographer of his father.
-
B.
Eddie Garrett
Eddie Garrett is a compulsive gambler and small-time hustler who becomes entangled in a risky scheme in the film "Win It All."
-
C.
Chet Roberts
Chet Roberts is an American guitarist best known as a member of the rock band 3 Doors Down.
-
D.
Tommy Rall
Tommy Rall was an American actor and exceptionally skilled dancer best known for his athletic, acrobatic performances in classic Hollywood musicals of the 1950s.
-
E.
Frank Ford
Frank Ford is a relatively obscure individual whose specific notability is unclear from the given information alone.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63ae3708190b7ee04c1487713c9 |
completed | April 28, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bdacb6c8190b1087fc577abb1c6 |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4ccdd0a881908d32425b7cbb30c4 |
completed | May 17, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a4de7d07c8190a0ccb1c229e7fc5d |
completed | May 17, 2026, 11:23 p.m. |
Created at: April 16, 2026, 6:56 p.m.