Triple
T12713043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spicemas |
E303768
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Pretty Mas |
E960606
|
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: Pretty Mas | Statement: [Spicemas, hasComponent, Pretty Mas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pretty Mas Context triple: [Spicemas, hasComponent, Pretty Mas]
-
A.
Pretty Mas
chosen
Pretty Mas is the main daytime parade of elaborate costumes and bands during Grenada’s Carnival celebrations.
-
B.
Pretty Pictures
Pretty Pictures is a film production company known for producing feature films such as the drama "News of the World."
-
C.
Pretty Beat Up
Pretty Beat Up is a song by The Rolling Stones from their 1983 album "Undercover," known for its gritty, funk-influenced rock sound.
-
D.
Pretty on the Inside
Pretty on the Inside is the 1991 debut studio album by American alternative rock band Hole, noted for its raw, abrasive sound and feminist themes.
-
E.
Getting the Pretty Back
Getting the Pretty Back is a lifestyle and advice book by actress Molly Ringwald that offers reflections on aging, beauty, and confidence for women.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96208fa6481909d6fd43654752a2d |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b8f43081909d4a8e4241c813a1 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.