Triple
T18365526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alanna Mitsopolis |
E440034
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | White Widow |
—
|
NE NERFINISHED |
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: White Widow | Statement: [Alanna Mitsopolis, hasAlias, White Widow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Widow Context triple: [Alanna Mitsopolis, hasAlias, White Widow]
-
A.
White Widow
chosen
White Widow is the criminal alias of Alanna Mitsopolis, a skilled arms dealer and antagonist in the Mission: Impossible film series.
-
B.
Blue Dream
Blue Dream is a track by Weezer from their rock album "Van Weezer," known for its heavy guitar riffs and classic rock influences.
-
C.
Blue Dream
Blue Dream is a track from Jhené Aiko’s debut studio album "Souled Out," known for its ethereal production and introspective R&B style.
-
D.
Lavender Haze
"Lavender Haze" is a dreamy, synth-pop track by Taylor Swift that opens her 2022 album *Midnights* and explores themes of romantic escapism and media scrutiny.
-
E.
Ganja
Ganja is one of Azerbaijan’s largest and oldest cities, known as a historic cultural and economic center in the South Caucasus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174d31608190851a5bab6878c203 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.