Triple
T15121914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuck with U |
E361190
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Whitney Phillips
Whitney Phillips is a writer and scholar known for her work on internet culture, digital ethics, and online harassment.
|
E1137755
|
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: Whitney Phillips | Statement: [Stuck with U, writer, Whitney Phillips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitney Phillips Context triple: [Stuck with U, writer, Whitney Phillips]
-
A.
Cara Whitney
Cara Whitney is an American radio personality and author best known as the wife of comedian Larry the Cable Guy.
-
B.
Whitney Blake
Whitney Blake was an American actress, producer, and television writer best known for co-creating the sitcom "One Day at a Time."
-
C.
Whitney Brown
Whitney Brown is a production company associated with the creation of the horror-comedy franchise "What We Do in the Shadows."
-
D.
Whitney Cameron
Whitney Cameron is the central protagonist of the 1953 film noir thriller "A Blueprint for Murder," around whom the story’s suspenseful murder investigation revolves.
-
E.
Witney Carson
Witney Carson is an American professional ballroom dancer and choreographer best known for her long-running role as a pro on the television competition show "Dancing with the Stars."
- 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: Whitney Phillips Triple: [Stuck with U, writer, Whitney Phillips]
Generated description
Whitney Phillips is a writer and scholar known for her work on internet culture, digital ethics, and online harassment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Whitney Phillips Target entity description: Whitney Phillips is a writer and scholar known for her work on internet culture, digital ethics, and online harassment.
-
A.
Cara Whitney
Cara Whitney is an American radio personality and author best known as the wife of comedian Larry the Cable Guy.
-
B.
Whitney Blake
Whitney Blake was an American actress, producer, and television writer best known for co-creating the sitcom "One Day at a Time."
-
C.
Whitney Brown
Whitney Brown is a production company associated with the creation of the horror-comedy franchise "What We Do in the Shadows."
-
D.
Whitney Cameron
Whitney Cameron is the central protagonist of the 1953 film noir thriller "A Blueprint for Murder," around whom the story’s suspenseful murder investigation revolves.
-
E.
Witney Carson
Witney Carson is an American professional ballroom dancer and choreographer best known for her long-running role as a pro on the television competition show "Dancing with the Stars."
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f4abd08190b47c9daff2921919 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.