Triple
T3086830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Once in My Life |
E64391
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Orlando Murden |
E297585
|
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: Orlando Murden | Statement: [For Once in My Life, writer, Orlando Murden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlando Murden Context triple: [For Once in My Life, writer, Orlando Murden]
-
A.
Orlando Murden
chosen
Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
-
B.
Elmer Booth
Elmer Booth was an early 20th-century American silent film actor known for his dynamic performances in pioneering gangster and crime dramas.
-
C.
Percy Wetmore
Percy Wetmore is a cruel, sadistic prison guard in Stephen King’s novel and its film adaptation "The Green Mile," known for abusing his power over death row inmates.
-
D.
Melville Tucker
Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
-
E.
Myron Hunt
Myron Hunt was a prominent early 20th-century American architect known for designing significant landmarks in Southern California, including notable hotels, educational buildings, and cultural institutions.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1ec187c819084565514ebb99cdb |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203607df081909499458d6608f0e6 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:03 p.m.