Triple
T22974021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storks |
E571263
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object |
Katie Crown
Katie Crown is a Canadian voice actress and comedian known for her roles in animated films and television series, including voicing a lead character in the movie "Storks."
|
E1577906
|
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: Katie Crown | Statement: [Storks, voiceCast, Katie Crown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Crown Context triple: [Storks, voiceCast, Katie Crown]
-
A.
Katie King
Katie King is the daughter of British television presenter and former "Countdown" co-host Carol Vorderman.
-
B.
Katie Carr
Katie Carr is the conflicted, self-critical doctor and wife who narrates Nick Hornby’s novel "How to Be Good," exploring themes of morality, marriage, and modern middle-class guilt.
-
C.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
-
D.
Katie Yeager
Katie Yeager is a reality television personality best known for appearing as one of the young mothers on MTV’s Teen Mom 3.
-
E.
Katie Luber
Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
- 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: Katie Crown Triple: [Storks, voiceCast, Katie Crown]
Generated description
Katie Crown is a Canadian voice actress and comedian known for her roles in animated films and television series, including voicing a lead character in the movie "Storks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katie Crown Target entity description: Katie Crown is a Canadian voice actress and comedian known for her roles in animated films and television series, including voicing a lead character in the movie "Storks."
-
A.
Katie King
Katie King is the daughter of British television presenter and former "Countdown" co-host Carol Vorderman.
-
B.
Katie Carr
Katie Carr is the conflicted, self-critical doctor and wife who narrates Nick Hornby’s novel "How to Be Good," exploring themes of morality, marriage, and modern middle-class guilt.
-
C.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
-
D.
Katie Yeager
Katie Yeager is a reality television personality best known for appearing as one of the young mothers on MTV’s Teen Mom 3.
-
E.
Katie Luber
Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182350b448190a34e5fa0167fd964 |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f2ecb948190aa488d468b4f9775 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c40b67a848190a0b123de09941bc0 |
completed | May 19, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c411702a48190ba2964ba221394d1 |
completed | May 19, 2026, 10:53 a.m. |
Created at: April 17, 2026, 3:48 p.m.