Triple
T18047197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sign o’ the Times Tour |
E431809
|
entity |
| Predicate | hasBandMember |
P22076
|
FINISHED |
| Object |
Greg Brooks
Greg Brooks is a dancer and performer best known for his work with Prince, including appearances on major tours and in music videos during the 1980s.
|
E1316912
|
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: Greg Brooks | Statement: [Sign o’ the Times Tour, hasBandMember, Greg Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Brooks Context triple: [Sign o’ the Times Tour, hasBandMember, Greg Brooks]
-
A.
Roy Brooks
Roy Brooks was an American jazz drummer known for his dynamic hard bop style and collaborations with leading artists of the 1950s–1970s.
-
B.
Roy Brooks
Roy Brooks was an American actor best known for his role in the silent short comedy film "Never Weaken."
-
C.
Michael Brooks
Michael Brooks was an American basketball player best known as a standout forward at La Salle University who went on to play professionally in the NBA and overseas.
-
D.
Ronald Brooks
Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
-
E.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
- 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: Greg Brooks Triple: [Sign o’ the Times Tour, hasBandMember, Greg Brooks]
Generated description
Greg Brooks is a dancer and performer best known for his work with Prince, including appearances on major tours and in music videos during the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg Brooks Target entity description: Greg Brooks is a dancer and performer best known for his work with Prince, including appearances on major tours and in music videos during the 1980s.
-
A.
Roy Brooks
Roy Brooks was an American jazz drummer known for his dynamic hard bop style and collaborations with leading artists of the 1950s–1970s.
-
B.
Roy Brooks
Roy Brooks was an American actor best known for his role in the silent short comedy film "Never Weaken."
-
C.
Michael Brooks
Michael Brooks was an American basketball player best known as a standout forward at La Salle University who went on to play professionally in the NBA and overseas.
-
D.
Ronald Brooks
Ronald Brooks is a songwriter best known for his work on the hit track "I Get Around."
-
E.
Mike Burrows
Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff2d3c48190875ffe9c042d3ec0 |
completed | April 19, 2026, 11:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb4157408190bbdd21e8c46f547c |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bc634e948190bc507cc359262736 |
completed | May 12, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd792b7c8190a41cccc308e252ad |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:25 a.m.