Triple
T21723378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dream |
E536215
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Katelyn Tarver
Katelyn Tarver is an American singer-songwriter and actress known for her pop music releases and roles on television series such as "Big Time Rush."
|
E1516604
|
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: Katelyn Tarver | Statement: [Dream, hasPart, Katelyn Tarver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katelyn Tarver Context triple: [Dream, hasPart, Katelyn Tarver]
-
A.
Kaitlin Cullum
Kaitlin Cullum is an American actress best known for her role as one of the children on the 1990s sitcom "Grace Under Fire."
-
B.
Kaylee DeFer
Kaylee DeFer is an American actress best known for her television roles in series such as "The War at Home" and "Gossip Girl."
-
C.
Talisha Searcy
Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
-
D.
Taryn Van Dyke
Taryn Van Dyke is a member of the Van Dyke family, known for its multi-generational involvement in American film and television.
-
E.
Kaleena Kiff
Kaleena Kiff is a Canadian actress, producer, and director known for her work in film and television, including her role on the series "The New Leave It to Beaver."
- 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: Katelyn Tarver Triple: [Dream, hasPart, Katelyn Tarver]
Generated description
Katelyn Tarver is an American singer-songwriter and actress known for her pop music releases and roles on television series such as "Big Time Rush."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katelyn Tarver Target entity description: Katelyn Tarver is an American singer-songwriter and actress known for her pop music releases and roles on television series such as "Big Time Rush."
-
A.
Kaitlin Cullum
Kaitlin Cullum is an American actress best known for her role as one of the children on the 1990s sitcom "Grace Under Fire."
-
B.
Kaylee DeFer
Kaylee DeFer is an American actress best known for her television roles in series such as "The War at Home" and "Gossip Girl."
-
C.
Talisha Searcy
Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
-
D.
Taryn Van Dyke
Taryn Van Dyke is a member of the Van Dyke family, known for its multi-generational involvement in American film and television.
-
E.
Kaleena Kiff
Kaleena Kiff is a Canadian actress, producer, and director known for her work in film and television, including her role on the series "The New Leave It to Beaver."
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a80945628819096d207cc14168007 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a820cd0e4819093ef21656d4a118b |
completed | May 18, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a828694988190bf07e1b649a109f3 |
completed | May 18, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:48 p.m.