Triple
T2125469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Debney |
E46413
|
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 Debney, notableWork, Elf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elf Context triple: [John Debney, 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.
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."
-
C.
Elfman
Elfman is the surname of American composer and musician Danny Elfman, renowned for his film scores and work with the band Oingo Boingo.
-
D.
Dirfys
Dirfys is a prominent mountain on the Greek island of Euboea, known as its highest peak and a notable hiking destination.
-
E.
Unicorn
Unicorn was a prominent warship of the Royal Scots Navy, remembered as one of its most significant and historic vessels.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519ead088190a8a7229d998732de |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.