Triple
T6283311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Ain’t Heavy, He’s My Brother |
E140830
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Bob Russell |
E581638
|
NE FINISHED |
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: Bob Russell | Statement: [He Ain’t Heavy, He’s My Brother, lyricist, Bob Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Russell Context triple: [He Ain’t Heavy, He’s My Brother, lyricist, Bob Russell]
-
A.
Bob Russell
chosen
Bob Russell was an American lyricist best known for writing the words to popular standards such as "He Ain’t Heavy, He’s My Brother."
-
B.
Bill Travers
Bill Travers was a British actor and wildlife conservationist best known for his roles in mid-20th-century films and for co-founding the Born Free Foundation.
-
C.
Robert Russell
Robert Russell is a computer engineer best known for his key role in developing and designing the Commodore 64 home computer.
-
D.
Robert Russell
Robert Russell is an author best known for co-writing the musical "Flora the Red Menace," which marked Liza Minnelli’s Broadway debut.
-
E.
Gene Green
Gene Green is an American Democratic politician who served for many years as a U.S. Representative from the Houston area in Texas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e411332481908ffff37cad062cce |
completed | March 27, 2026, 1:57 a.m. |
Created at: March 22, 2026, 4:26 p.m.