Triple
T14653345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can't Hurry Love |
E344046
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Kevin Crowley
Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
|
E1111989
|
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: Kevin Crowley | Statement: [Can't Hurry Love, hasCastMember, Kevin Crowley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Crowley Context triple: [Can't Hurry Love, hasCastMember, Kevin Crowley]
-
A.
Kevin Kingston
Kevin Kingston is a young boy character in the family road-trip comedy film "Are We There Yet?"
-
B.
Michael Cole
Michael Cole is a longtime professional wrestling commentator best known as the lead play-by-play announcer for WWE.
-
C.
Michael Cole
Michael Cole is an American psychologist and cultural-historical theorist known for his work on cross-cultural cognition and for extending Lev Vygotsky’s ideas into the field of cultural psychology.
-
D.
Kevin Owens
Kevin Owens is a Canadian professional wrestler known for his hard-hitting style, sharp mic skills, and multiple championship reigns in major promotions including WWE.
-
E.
Chris Jericho
Chris Jericho is a renowned professional wrestler, rock musician, and media personality best known for his influential career in major wrestling promotions like WWE and AEW.
- 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: Kevin Crowley Triple: [Can't Hurry Love, hasCastMember, Kevin Crowley]
Generated description
Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Crowley Target entity description: Kevin Crowley is an actor known for his role in the film "Can't Hurry Love."
-
A.
Kevin Kingston
Kevin Kingston is a young boy character in the family road-trip comedy film "Are We There Yet?"
-
B.
Michael Cole
Michael Cole is a longtime professional wrestling commentator best known as the lead play-by-play announcer for WWE.
-
C.
Michael Cole
Michael Cole is an American psychologist and cultural-historical theorist known for his work on cross-cultural cognition and for extending Lev Vygotsky’s ideas into the field of cultural psychology.
-
D.
Kevin Owens
Kevin Owens is a Canadian professional wrestler known for his hard-hitting style, sharp mic skills, and multiple championship reigns in major promotions including WWE.
-
E.
Chris Jericho
Chris Jericho is a renowned professional wrestler, rock musician, and media personality best known for his influential career in major wrestling promotions like WWE and AEW.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd6ed699c8190919677dcdf2d24d9 |
completed | May 8, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd79198108190a3e640eca97b082b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:27 a.m.