Triple
T15595003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One to One |
E374868
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object |
Speeding Time
Speeding Time is a song by the artist One to One, known for its upbeat 1980s pop sound.
|
E1166729
|
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: Speeding Time | Statement: [One to One, followedBy, Speeding Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speeding Time Context triple: [One to One, followedBy, Speeding Time]
-
A.
Up to Speed
Up to Speed is a segment from the documentary film "The Perfect Storm" that provides concise background information and context about the events and conditions leading up to the storm.
-
B.
Speed Demon
"Speed Demon" is a high-energy pop track by Michael Jackson from his 1987 album *Bad*, known for its driving rhythm and themes of fast living and escape.
-
C.
SPEED
SPEED was an American cable and satellite television network focused on motorsports and automotive programming.
-
D.
Full Speed
"Full Speed" is a comedic romantic suspense novel co-written by Janet Evanovich and Charlotte Hughes, featuring quirky characters, fast-paced action, and lighthearted crime-solving.
-
E.
Speed Drive
"Speed Drive" is a high-energy pop track by Charli XCX, known for its catchy hooks and inclusion on the Barbie (2023) movie soundtrack.
- 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: Speeding Time Triple: [One to One, followedBy, Speeding Time]
Generated description
Speeding Time is a song by the artist One to One, known for its upbeat 1980s pop sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Speeding Time Target entity description: Speeding Time is a song by the artist One to One, known for its upbeat 1980s pop sound.
-
A.
Up to Speed
Up to Speed is a segment from the documentary film "The Perfect Storm" that provides concise background information and context about the events and conditions leading up to the storm.
-
B.
Speed Demon
"Speed Demon" is a high-energy pop track by Michael Jackson from his 1987 album *Bad*, known for its driving rhythm and themes of fast living and escape.
-
C.
SPEED
SPEED was an American cable and satellite television network focused on motorsports and automotive programming.
-
D.
Full Speed
"Full Speed" is a comedic romantic suspense novel co-written by Janet Evanovich and Charlotte Hughes, featuring quirky characters, fast-paced action, and lighthearted crime-solving.
-
E.
Speed Drive
"Speed Drive" is a high-energy pop track by Charli XCX, known for its catchy hooks and inclusion on the Barbie (2023) movie soundtrack.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c7db58819089cb488fb3ea96cd |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58687e4c8190a4054c4d5419a76a |
completed | May 9, 2026, 3:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58d92218819085877be120fdcc01 |
completed | May 9, 2026, 3:55 p.m. |
Created at: April 10, 2026, 4:12 a.m.