Triple
T17166646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Jean |
E416627
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Luti-Kriss |
E1253746
|
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: Luti-Kriss | Statement: [Norma Jean, associatedAct, Luti-Kriss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luti-Kriss Context triple: [Norma Jean, associatedAct, Luti-Kriss]
-
A.
Luti-Kriss
chosen
Luti-Kriss was the original name of the American metalcore band Norma Jean, used during their early years before they rebranded.
-
B.
Korenlei
Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
-
C.
Krisy
Krisy is a diminutive or nickname commonly used for the given name Kristine.
-
D.
Crucita
Crucita is a coastal town in Ecuador renowned for its beaches and paragliding, making it a popular seaside destination in Manabí Province.
-
E.
Krorayina
Krorayina is an ancient oasis city in the Tarim Basin of present-day Xinjiang, China, known for its role as a Silk Road trading center and its well-preserved archaeological remains.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc83984819098c98b75cf021e3a |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.