Triple
T3933793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missy |
E90859
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Missy the Master |
E90859
|
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: Missy the Master | Statement: [Missy, alsoKnownAs, Missy the Master]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missy the Master Context triple: [Missy, alsoKnownAs, Missy the Master]
-
A.
Missy
chosen
Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
-
B.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
-
C.
Little Miss S
"Little Miss S" is a song by American singer-songwriter Edie Brickell, known for its introspective lyrics and folk-rock style.
-
D.
Misti
Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
-
E.
Mo the Mule
Mo the Mule is the costumed mule mascot representing the University of Central Missouri at its athletic events and campus activities.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcab1808190bf653f29062cdddb |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288b7538819084936489226dd31f |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:23 p.m.