Triple
T8267904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCIS Theme |
E193346
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Numeriklab |
E722692
|
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: Numeriklab | Statement: [NCIS Theme, performer, Numeriklab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Numeriklab Context triple: [NCIS Theme, performer, Numeriklab]
-
A.
Numeriklab
chosen
Numeriklab is a music production group best known for creating the theme music for the television series NCIS.
-
B.
Mathematical Laboratory
The Mathematical Laboratory was the original name of the University of Cambridge’s computing department, which became a pioneering center for early computer science research and development.
-
C.
Symbolyc One
Symbolyc One is an American hip-hop record producer best known for his work with artists like Kanye West, Jay-Z, and Beyoncé.
-
D.
Numba
Numba is a just-in-time compiler for Python that accelerates numerical and scientific computing code by translating a subset of Python and NumPy operations into optimized machine code.
-
E.
Formulario Mathematico
Formulario Mathematico is a foundational work in mathematical logic and notation by Giuseppe Peano that systematically formalizes mathematics using symbolic language.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9505ecb08190bfe4025c858d7ef9 |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:50 p.m.