Triple
T23180883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyplace Is Paradise |
E579457
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Joe Thomas |
—
|
NE NERFINISHED |
How this triple was built (2 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: Joe Thomas | Statement: [Anyplace Is Paradise, lyricist, Joe Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Thomas Context triple: [Anyplace Is Paradise, lyricist, Joe Thomas]
-
A.
Joe Thomas
Joe Thomas is a former American football offensive tackle best known for his Hall of Fame career with the Cleveland Browns and his standout collegiate play at the University of Wisconsin.
-
B.
Joe Thomas
Joe Thomas is a film producer known for his work on the biographical drama "The Man Who Knew Infinity."
-
C.
Joe Thomas
chosen
Joe Thomas was a musician and composer known for his work on songs such as "Anyplace Is Paradise."
-
D.
Joe Thomas
Joe Thomas is a British actor and comedian best known for playing Simon Cooper in the sitcom "The Inbetweeners" and its film adaptations.
-
E.
Tamba Hali
Tamba Hali is a former NFL outside linebacker renowned for his pass-rushing prowess during a long and productive career with the Kansas City Chiefs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6ebff48190ad1543051ca0239b |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:05 p.m.