Triple
T14467414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Woods |
E358748
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | AZ |
E115336
|
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: AZ | Statement: [Corey Woods, associatedAct, AZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZ Context triple: [Corey Woods, associatedAct, AZ]
-
A.
AZ
AZ is the official two-letter United States Postal Service abbreviation for the state of Arizona.
-
B.
AZ
chosen
AZ is an American rapper from Brooklyn best known for his intricate lyricism and frequent collaborations with Nas, particularly on the classic album "Illmatic."
-
C.
AZ
AZ is the two-letter ISO 3166-1 alpha-2 country code representing Azerbaijan.
-
D.
AZ
AZ is the two-letter IATA airline designator assigned to the former Italian flag carrier Alitalia.
-
E.
AZ
AZ is the Dutch government’s Ministry of General Affairs, responsible for supporting the Prime Minister and coordinating overall government policy.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f8613c819080424104c0b7f4c3 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6499c7188190a79411b471cfa7d4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.