Triple
T8367430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Romer |
E197167
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Skin |
E324996
|
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: Skin | Statement: [Dan Romer, notableWork, Skin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skin Context triple: [Dan Romer, notableWork, Skin]
-
A.
Skin
chosen
"Skin" is a 2018 biographical drama film starring Jamie Bell as a former neo-Nazi trying to leave a violent white supremacist movement and rebuild his life.
-
B.
Dermide
Dermide was the short-lived son of French general Charles Leclerc and Pauline Bonaparte, making him a nephew of Napoleon Bonaparte.
-
C.
Skin Yard
Skin Yard was an influential Seattle-based grunge band active in the 1980s, known for helping shape the early sound of the genre.
-
D.
Flesh Tone
Flesh Tone is a 2010 dance-pop and electronic album by American singer Kelis that marked a stylistic shift toward club-oriented, upbeat production.
-
E.
Only Skin
"Only Skin" is an extended, multi-part folk song by Joanna Newsom from her acclaimed 2006 album *Ys*, known for its intricate lyrics and expansive composition.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808e56fc81908b5d37482f29452d |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc78c0c208190ba590c74512a4043 |
completed | April 2, 2026, 1:34 a.m. |
Created at: March 30, 2026, 6 p.m.