Triple
T17976736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filthy |
E449493
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Man of the Woods |
—
|
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: Man of the Woods | Statement: [Filthy, partOf, Man of the Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Man of the Woods Context triple: [Filthy, partOf, Man of the Woods]
-
A.
Man of the Woods
chosen
Man of the Woods is a 2018 studio album by American singer Justin Timberlake that blends pop, R&B, and country influences.
-
B.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
C.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
-
D.
The Woods
The Woods is a 2005 album by American rock band Sleater-Kinney known for its raw, heavy sound and experimental, noise-infused approach to indie rock.
-
E.
The Woods
"The Woods" is a soulful, genre-blending song by American musician Raury that showcases his introspective lyrics and folk-influenced alternative sound.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.