Triple
T7729042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companhia das Letras |
E175203
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object | Penguin-Companhia |
E191083
|
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: Penguin-Companhia | Statement: [Companhia das Letras, hasImprint, Penguin-Companhia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penguin-Companhia Context triple: [Companhia das Letras, hasImprint, Penguin-Companhia]
-
A.
Penguin Group
chosen
Penguin Group was a major British publishing company renowned for its influential paperback editions and literary classics before its merger into Penguin Random House.
-
B.
Britannia Industries
Britannia Industries is one of India’s leading food companies, best known for its wide range of biscuits, dairy products, and bakery items sold under popular household brands.
-
C.
Pando Company
Pando Company is a film production company known for producing the movie "The Happy Ending."
-
D.
Pegasus Company
Pegasus Company is a fictional elite military unit featured in the Halo video game universe.
-
E.
Canada Company
Canada Company was a 19th-century British land development firm that played a major role in colonizing and settling parts of Upper Canada (now Ontario).
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703170650819095a1b073d67d231d |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52adf6481908cb78e7cc7c4266d |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.