Triple
T5193408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furious 7 |
E117210
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Leigh Folsom Boyd |
E259905
|
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: Leigh Folsom Boyd | Statement: [Furious 7, editedBy, Leigh Folsom Boyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leigh Folsom Boyd Context triple: [Furious 7, editedBy, Leigh Folsom Boyd]
-
A.
Leigh Folsom Boyd
chosen
Leigh Folsom Boyd is a film editor known for her work on major studio releases, including Marvel projects such as Black Widow.
-
B.
Carr Bowers McClenny
Carr Bowers McClenny was a prominent local figure and landowner after whom the city of Macclenny, Florida, was named.
-
C.
Boyd Tinsley
Boyd Tinsley is an American violinist and composer best known as a longtime member of the Dave Matthews Band.
-
D.
Prentiss M. Brown
Prentiss M. Brown was an American Democratic politician and U.S. Senator from Michigan who played a key role in federal economic regulation during World War II.
-
E.
Marion LeRoy Burton
Marion LeRoy Burton was an American educator and university president whose leadership and influence extended into major national organizations, including public health initiatives.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09743e08190a3a73fb410a6f124 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.