Triple
T5319347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Population Me |
E121632
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Fair to Midland
Fair to Midland is an American progressive rock/metal band known for its eclectic sound, dynamic song structures, and poetic lyrics.
|
E511517
|
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: Fair to Midland | Statement: [Population Me, hasTrack, Fair to Midland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fair to Midland Context triple: [Population Me, hasTrack, Fair to Midland]
-
A.
Godley & Creme
Godley & Creme were an English rock duo and innovative music video directors, best known for their work with 10cc and for pioneering visually inventive videos in the 1980s.
-
B.
Mitts
Mitts is the costumed mascot character for the Rochester Red Wings minor league baseball team, entertaining fans at games and team events.
-
C.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
D.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
E.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
- 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: Fair to Midland Triple: [Population Me, hasTrack, Fair to Midland]
Generated description
Fair to Midland is an American progressive rock/metal band known for its eclectic sound, dynamic song structures, and poetic lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fair to Midland Target entity description: Fair to Midland is an American progressive rock/metal band known for its eclectic sound, dynamic song structures, and poetic lyrics.
-
A.
Godley & Creme
Godley & Creme were an English rock duo and innovative music video directors, best known for their work with 10cc and for pioneering visually inventive videos in the 1980s.
-
B.
Mitts
Mitts is the costumed mascot character for the Rochester Red Wings minor league baseball team, entertaining fans at games and team events.
-
C.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
D.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
E.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855407048190bcdb97c7098cc2aa |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18a117d48190a7fb45be0b002f4e |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf197733b48190910bdd60fbd94fff |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19e1b064819091851e975f83e781 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 1:59 p.m.