Triple
T14984976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erkki |
E373676
|
entity |
| Predicate | cognateWith |
P2525
|
FINISHED |
| Object | Eric |
E55218
|
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: Eric | Statement: [Erkki, cognateWith, Eric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Context triple: [Erkki, cognateWith, Eric]
-
A.
Eric
chosen
Eric is a masculine given name of Old Norse origin meaning "ever-ruler" or "eternal ruler," widely used in many Western countries.
-
B.
Eric
Eric is a curious young boy who serves as the main child protagonist in the science-themed children's novel "George's Secret Key to the Universe."
-
C.
Eric
Eric is a fictional character from the film "The Rover," a bleak post-apocalyptic drama set in the Australian outback.
-
D.
Eric
Eric is the central protagonist of the 2003 film "Elephant," around whom the movie’s narrative and themes are primarily focused.
-
E.
Eric
Eric is a central character in the comedy film "The Man Child," known for embodying the immature, overgrown man persona that drives much of the movie’s humor.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.