Triple
T16439285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Straw |
E399256
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Garret Lee |
E556160
|
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: Garret Lee | Statement: [Final Straw, producer, Garret Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garret Lee Context triple: [Final Straw, producer, Garret Lee]
-
A.
Garret Lee
chosen
Garret Lee is an Irish music producer and mixer best known under the professional name Jacknife Lee, noted for his work with major rock and alternative bands.
-
B.
Garrett Lunceford
Garrett Lunceford is a member of the band Acceptance, an American rock group known for its melodic, emotionally driven sound.
-
C.
Garret Elkins
Garret Elkins is a film editor best known for his work on the stop-motion animated feature "Anomalisa."
-
D.
Garret Macy
Garret Macy is a central character in the crime drama series "Crossing Jordan," serving as the seasoned and often conflicted chief medical examiner who oversees Jordan Cavanaugh and her colleagues.
-
E.
Garrett Clayton
Garrett Clayton is an American actor and singer best known for his roles in Disney Channel productions and musical films.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba720a48190b0b412225e993e52 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4971e08190821d6b5aeed05624 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.