Triple
T17008351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredy |
E412631
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Freddie |
E92612
|
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: Freddie | Statement: [Fredy, relatedName, Freddie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freddie Context triple: [Fredy, relatedName, Freddie]
-
A.
Freddie
chosen
Freddie is a common diminutive given name, typically used as a nickname for Alfred or similar names.
-
B.
Freddie
"Freddie" is a 2018 studio album by American rapper Freddie Gibbs, known for its gritty lyricism and dark, hard-hitting production.
-
C.
Freddie Christian
Freddie Christian, better known as Freddie King, was an influential American blues guitarist and singer renowned for his powerful playing style and impact on electric blues and rock music.
-
D.
Freddie Oversteegen
Freddie Oversteegen was a Dutch resistance fighter during World War II, known for her courageous sabotage and armed actions against Nazi occupiers as a teenager.
-
E.
Freddie Syborn
Freddie Syborn is a British television writer and producer best known for co-creating and writing the sitcom "Bad Education."
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3853f548190910240a2145cc890 |
completed | April 18, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc222d108190934ef2b3aa46aa22 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.