Triple
T14784803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zola Jesus |
E347486
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Skin |
E1032180
|
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: [Zola Jesus, notableWork, Skin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skin Context triple: [Zola Jesus, notableWork, Skin]
-
A.
Skin
"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.
Skin
"Skin" is a 2021 pop song by American singer Sabrina Carpenter, widely noted for its introspective lyrics and perceived response to public relationship drama.
-
C.
Skin
"Skin" is a song by the Dutch Eurodance group Sylver, known for its melodic trance-influenced sound and emotional lyrics.
-
D.
Skin
chosen
"Skin" is a studio album by American rock singer-songwriter Melissa Etheridge, known for its introspective lyrics and emotionally raw exploration of personal transformation.
-
E.
Uhlenhaut
Uhlenhaut is a German surname most notably associated with Rudolf Uhlenhaut, a renowned automotive engineer for Mercedes-Benz.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b816388190be1127fe34a58d1d |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.