Triple
T8538207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle of Nowhere |
E202129
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | AFFRM |
E732707
|
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: AFFRM | Statement: [Middle of Nowhere, productionCompany, AFFRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFFRM Context triple: [Middle of Nowhere, productionCompany, AFFRM]
-
A.
AFFRM
chosen
AFFRM (African-American Film Festival Releasing Movement) was a distribution collective dedicated to releasing and promoting independent films by and about Black people in the United States.
-
B.
AFF
AFF is the ASEAN Football Federation, the regional governing body for football in Southeast Asia under the Asian Football Confederation.
-
C.
AFRM
AFRM is the stock ticker symbol for Affirm Holdings, Inc., a financial technology company known for its buy-now-pay-later payment solutions.
-
D.
AFRF
AFRF is the commonly used English abbreviation for the Russian Armed Forces, the military organization responsible for the defense and security of the Russian Federation.
-
E.
AAF
AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d953fd0819094958d2b5a5a8e13 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:18 p.m.