Triple
T22717550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elf Aquitaine |
E561774
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Elf |
—
|
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: Elf | Statement: [Elf Aquitaine, brand, Elf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elf Context triple: [Elf Aquitaine, brand, Elf]
-
A.
Elf
Elf was an early 1970s hard rock band fronted by vocalist Ronnie James Dio, known for its blues-influenced sound and as a precursor to Dio’s later work with Rainbow and Black Sabbath.
-
B.
Elf
Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
-
C.
Elf
chosen
Elf is a French oil and gas brand best known for its high-performance fuels and lubricants used in motorsports and automotive applications.
-
D.
ELF
ELF (Executable and Linkable Format) is a common standard file format used for executables, object code, shared libraries, and core dumps on Unix-like operating systems.
-
E.
Elves
Elves are a long-lived, magically attuned humanoid race often depicted as graceful, wise, and closely connected to nature.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ecbc48190926d16b20b674dbd |
completed | April 29, 2026, 3:20 a.m. |
Created at: April 17, 2026, 3:19 p.m.