Triple
T14905416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ADF&G |
E360117
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ADF&G |
E360117
|
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: ADF&G | Statement: [ADF&G, abbreviation, ADF&G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADF&G Context triple: [ADF&G, abbreviation, ADF&G]
-
A.
ADF&G
chosen
ADF&G is the Alaska state agency responsible for managing, conserving, and regulating the state’s fish, wildlife, and their habitats.
-
B.
Altavista Films
Altavista Films is a Mexican film production company known for backing influential contemporary Mexican cinema, including acclaimed works like "Amores perros."
-
C.
Alcor Films
Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
-
D.
Ardent Productions
Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
-
E.
Aramid Entertainment
Aramid Entertainment is a film and television production company known for financing and producing independent and international projects.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:12 a.m.