Triple
T19835806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Russell |
E476590
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object |
Emily in Waves
Emily in Waves is a central character in the 2019 coming-of-age drama film "Waves," portrayed by actress Taylor Russell as a sensitive teenager navigating family turmoil and personal growth.
|
E1396633
|
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: Emily in Waves | Statement: [Taylor Russell, role, Emily in Waves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily in Waves Context triple: [Taylor Russell, role, Emily in Waves]
-
A.
A Wave
"A Wave" is a song by the American rock band Kings of Leon from their album "When You See Yourself."
-
B.
The Waeve
The Waeve is an English alternative rock duo formed by Blur guitarist Graham Coxon and singer-songwriter Rose Elinor Dougall.
-
C.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
-
D.
My Wave
"My Wave" is a song by the American rock band Soundgarden from their 1994 album *Superunknown*, showcasing their heavy, experimental grunge sound and unusual time signatures.
-
E.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
- 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: Emily in Waves Triple: [Taylor Russell, role, Emily in Waves]
Generated description
Emily in Waves is a central character in the 2019 coming-of-age drama film "Waves," portrayed by actress Taylor Russell as a sensitive teenager navigating family turmoil and personal growth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily in Waves Target entity description: Emily in Waves is a central character in the 2019 coming-of-age drama film "Waves," portrayed by actress Taylor Russell as a sensitive teenager navigating family turmoil and personal growth.
-
A.
A Wave
"A Wave" is a song by the American rock band Kings of Leon from their album "When You See Yourself."
-
B.
The Waeve
The Waeve is an English alternative rock duo formed by Blur guitarist Graham Coxon and singer-songwriter Rose Elinor Dougall.
-
C.
Wellen
Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
-
D.
My Wave
"My Wave" is a song by the American rock band Soundgarden from their 1994 album *Superunknown*, showcasing their heavy, experimental grunge sound and unusual time signatures.
-
E.
Waves
The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d275608190841b23de167c401e |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccdc05848190a353aa1d51108555 |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07ce38b6508190aa43a893b01c4d80 |
completed | May 16, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ceea12e881908a88a34c40047ecc |
completed | May 16, 2026, 1:56 a.m. |
Created at: April 10, 2026, 1:50 p.m.