Triple
T3935196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John William Ferrell |
E90891
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Elf |
E60344
|
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: Elf | Statement: [John William Ferrell, notableWork, Elf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elf Context triple: [John William Ferrell, notableWork, Elf]
-
A.
Elf
chosen
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.
-
B.
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.
-
C.
Fey
Fey is the surname of American comedian, writer, actress, and producer Tina Fey, known for her work on "Saturday Night Live" and "30 Rock."
-
D.
Elfman
Elfman is the surname of American composer and musician Danny Elfman, renowned for his film scores and work with the band Oingo Boingo.
-
E.
Elphi
Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288b7538819084936489226dd31f |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.