Triple
T4121059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie |
E92612
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Freda |
E415848
|
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: Freda | Statement: [Freddie, hasRelatedName, Freda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freda Context triple: [Freddie, hasRelatedName, Freda]
-
A.
Freda
chosen
Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
-
B.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
C.
Fiona
Fiona is a central character in the Shrek film series, an ogre princess known for her bravery, independence, and unconventional fairy-tale romance with Shrek.
-
D.
Fiona
Fiona is an American singer-songwriter and pianist known for her emotionally intense, critically acclaimed alternative music.
-
E.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0203b8c88190b08dd64800a37168 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f22e2bc8190a99df0863cf6b2bf |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:41 p.m.