Triple
T8421632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVN Award |
E198868
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | AVN Awards |
E198868
|
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: AVN Awards | Statement: [AVN Award, alsoKnownAs, AVN Awards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVN Awards Context triple: [AVN Award, alsoKnownAs, AVN Awards]
-
A.
AVN Award
chosen
The AVN Award is a prominent accolade in the adult entertainment industry, often likened to the Oscars for pornographic films and performers.
-
B.
XBIZ Award
The XBIZ Award is a prominent annual accolade in the adult entertainment industry recognizing excellence in performance, production, and business achievement.
-
C.
AVN
AVN is the IATA airport code for Avignon – Provence Airport in southeastern France.
-
D.
Golden Calf Awards
The Golden Calf Awards are the Netherlands’ premier film honors, recognizing outstanding achievements in Dutch cinema.
-
E.
The Lovie Awards
The Lovie Awards are a pan-European awards program that honors excellence and innovation in internet and digital media across a wide range of categories.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035279f48190861b97167fa3882c |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:06 p.m.