Triple
T18482330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damaged |
E451590
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jeremy Reeves |
—
|
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: Jeremy Reeves | Statement: [Damaged, writer, Jeremy Reeves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Reeves Context triple: [Damaged, writer, Jeremy Reeves]
-
A.
Jeremy Reeves
chosen
Jeremy Reeves is an American songwriter and producer best known as a member of the Grammy-winning production team The Stereotypes, recognized for crafting hits for major pop and R&B artists.
-
B.
Jeremy Reeves
Jeremy Reeves is a musician and producer best known as a member of the songwriting and production team Shampoo Press & Curl.
-
C.
Jason Reeves
Jason Reeves is an American singer-songwriter known for his acoustic pop style and frequent collaborations with artists like Colbie Caillat.
-
D.
Ken Reeves
Ken Reeves is the fictional former professional basketball player who becomes a high school coach in the television drama series "The White Shadow."
-
E.
Scott Reed
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.