Triple
T14552314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Smell |
E341448
|
entity |
| Predicate | protagonistName |
P29319
|
FINISHED |
| Object |
Becky Something
Becky Something is the volatile, self-destructive punk rock frontwoman at the center of the film "Her Smell," whose chaotic behavior threatens both her band and personal life.
|
E1111438
|
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: Becky Something | Statement: [Her Smell, protagonistName, Becky Something]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becky Something Context triple: [Her Smell, protagonistName, Becky Something]
-
A.
Becky
Becky is a character connected to Endora, likely appearing in the same fictional universe or storyline as her.
-
B.
Becky
Becky is a musical act known for its association with the British rock band Dogstar.
-
C.
Becky
Becky is a character associated with the "Limbo" universe, likely serving as a notable figure or component within its narrative or structure.
-
D.
Becky
Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
-
E.
Becky
Becky is a character from Thomas More’s seminal political-philosophical work "Utopia," representing one of the figures through which the text explores idealized social and political structures.
- 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: Becky Something Triple: [Her Smell, protagonistName, Becky Something]
Generated description
Becky Something is the volatile, self-destructive punk rock frontwoman at the center of the film "Her Smell," whose chaotic behavior threatens both her band and personal life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Becky Something Target entity description: Becky Something is the volatile, self-destructive punk rock frontwoman at the center of the film "Her Smell," whose chaotic behavior threatens both her band and personal life.
-
A.
Becky
Becky is a character connected to Endora, likely appearing in the same fictional universe or storyline as her.
-
B.
Becky
Becky is a musical act known for its association with the British rock band Dogstar.
-
C.
Becky
Becky is a character associated with the "Limbo" universe, likely serving as a notable figure or component within its narrative or structure.
-
D.
Becky
Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
-
E.
Becky
Becky is a character from Thomas More’s seminal political-philosophical work "Utopia," representing one of the figures through which the text explores idealized social and political structures.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c3d1d881909ed7e75aae7b08d9 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd74cc4048190bae5f75d922c9618 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:23 a.m.