Triple
T15905367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Wingo |
E385697
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Mud |
E366058
|
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: Mud | Statement: [David Wingo, workedOn, Mud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mud Context triple: [David Wingo, workedOn, Mud]
-
A.
Mud
chosen
Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
-
B.
Mud
Mud is a work created by Sarah Green, likely a notable piece in her artistic or literary portfolio.
-
C.
The Mud Vision
The Mud Vision is a poem by Seamus Heaney that appears in his 1987 collection "The Haw Lantern."
-
D.
Mudboy
Mudboy is the debut studio album by American rapper Sheck Wes, featuring his breakout hit "Mo Bamba" and establishing his raw, energetic style.
-
E.
Quicksand
Quicksand is an influential American post-hardcore band known for its heavy, melodic sound and role in shaping 1990s alternative rock.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565956588190ba4726a2879b677d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a39a348190a4ef6784c54649c2 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:52 a.m.