Triple
T10262637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Break My Soul |
E240635
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Allen George |
E389911
|
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: Allen George | Statement: [Break My Soul, writer, Allen George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen George Context triple: [Break My Soul, writer, Allen George]
-
A.
Allen George
chosen
Allen George is a writer best known for his work on the film "Fade."
-
B.
Jackson Graham
Jackson Graham was an American civil engineer and U.S. Army officer who became the first general manager of the Washington Metropolitan Area Transit Authority (WMATA).
-
C.
George Pickens
George Pickens is an American football wide receiver in the NFL, known for his acrobatic catches and big-play ability.
-
D.
Tori Foles
Tori Foles is the wife of NFL quarterback Nick Foles and is known for her advocacy and openness about living with postural orthostatic tachycardia syndrome (POTS).
-
E.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25dac34819099dbfad7f80507bb |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7f81dd481909022efde8fc46e68 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:32 a.m.