Triple
T16953767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiësto |
E411244
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Ava Max |
E696955
|
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: Ava Max | Statement: [Tiësto, associatedAct, Ava Max]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ava Max Context triple: [Tiësto, associatedAct, Ava Max]
-
A.
Ava Max
chosen
Ava Max is an American pop singer and songwriter best known for her hit single "Sweet but Psycho" and her dance-pop anthems.
-
B.
Bebe Rexha
Bebe Rexha is an American singer, songwriter, and pop artist known for her powerful vocals and chart-topping collaborations across dance, pop, and hip-hop music.
-
C.
Maggie Rogers
Maggie Rogers is an American singer-songwriter and producer known for her blend of folk, pop, and electronic music and her breakout hit "Alaska."
-
D.
Maggie Rogers
Maggie Rogers is a fictional African American maid and central character in the television miniseries "Backstairs at the White House," which dramatizes the lives of White House domestic staff across several U.S. presidencies.
-
E.
Ayra Starr
Ayra Starr is a Nigerian singer and songwriter known for her Afropop and R&B hits under Mavin Records, gaining international recognition with songs like "Bloody Samaritan."
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01b04e88190a72735541b3bb117 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d464762c8190a734ffdd83633f70 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.