Triple
T18482655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Got Me Going |
E451599
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Brian Andrews
Brian Andrews is a songwriter best known for his work on the track "Got Me Going."
|
E1328440
|
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: Brian Andrews | Statement: [Got Me Going, writer, Brian Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Andrews Context triple: [Got Me Going, writer, Brian Andrews]
-
A.
Bruce Anstey
Bruce Anstey is a New Zealand motorcycle road racer renowned for his multiple Isle of Man TT victories and long-standing presence among the sport’s elite competitors.
-
B.
Kevin Beattie
Kevin Beattie was an English central defender renowned as one of Ipswich Town’s greatest ever players and a standout talent of 1970s English football.
-
C.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
-
D.
Andrew Gunn
Andrew Gunn is a British television director known for his work on series such as Doctor Who.
-
E.
Greg Austin
Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
- 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: Brian Andrews Triple: [Got Me Going, writer, Brian Andrews]
Generated description
Brian Andrews is a songwriter best known for his work on the track "Got Me Going."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Andrews Target entity description: Brian Andrews is a songwriter best known for his work on the track "Got Me Going."
-
A.
Bruce Anstey
Bruce Anstey is a New Zealand motorcycle road racer renowned for his multiple Isle of Man TT victories and long-standing presence among the sport’s elite competitors.
-
B.
Kevin Beattie
Kevin Beattie was an English central defender renowned as one of Ipswich Town’s greatest ever players and a standout talent of 1970s English football.
-
C.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
-
D.
Andrew Gunn
Andrew Gunn is a British television director known for his work on series such as Doctor Who.
-
E.
Greg Austin
Greg Austin is a British actor best known for his roles in television series such as "Mr Selfridge" and the "Doctor Who" spin-off "Class."
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0491633978819092820daa682164fd |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a04920be21881908f8aac148aa0ae4d |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0492a5f9148190911747f8d50540e3 |
completed | May 13, 2026, 3:03 p.m. |
Created at: April 10, 2026, 11:35 a.m.