Triple
T9345340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Taylor |
E224874
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Stop. Reset.
"Stop. Reset." is a contemporary play by Regina Taylor that explores the impact of digital technology and cultural change on an African American-owned bookstore and its aging owner.
|
E792980
|
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: Stop. Reset. | Statement: [Regina Taylor, notableWork, Stop. Reset.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stop. Reset. Context triple: [Regina Taylor, notableWork, Stop. Reset.]
-
A.
Start Over
"Start Over" is a song title, likely a track on a music album.
-
B.
Stop
"Stop" is a comedic musical number from the stage adaptation of Mean Girls in which characters are urged to pause and think before acting impulsively.
-
C.
Stop
"Stop" is a 1998 upbeat pop single by the Spice Girls, known for its Motown-inspired sound and catchy choreography.
-
D.
Reset
"Reset" is an episode of the British science fiction television series Torchwood, featuring the character Toshiko Sato in a story involving dangerous medical experimentation and alien parasites.
-
E.
Stop all the clocks
"Stop all the clocks" is a famous elegiac poem by W. H. Auden, widely known for its poignant expression of grief and loss.
- 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: Stop. Reset. Triple: [Regina Taylor, notableWork, Stop. Reset.]
Generated description
"Stop. Reset." is a contemporary play by Regina Taylor that explores the impact of digital technology and cultural change on an African American-owned bookstore and its aging owner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stop. Reset. Target entity description: "Stop. Reset." is a contemporary play by Regina Taylor that explores the impact of digital technology and cultural change on an African American-owned bookstore and its aging owner.
-
A.
Start Over
"Start Over" is a song title, likely a track on a music album.
-
B.
Stop
"Stop" is a comedic musical number from the stage adaptation of Mean Girls in which characters are urged to pause and think before acting impulsively.
-
C.
Stop
"Stop" is a 1998 upbeat pop single by the Spice Girls, known for its Motown-inspired sound and catchy choreography.
-
D.
Reset
"Reset" is an episode of the British science fiction television series Torchwood, featuring the character Toshiko Sato in a story involving dangerous medical experimentation and alien parasites.
-
E.
Stop all the clocks
"Stop all the clocks" is a famous elegiac poem by W. H. Auden, widely known for its poignant expression of grief and loss.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e41ccdcc8190b2939716984b2c7b |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.