Triple
T2911257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lich (Adventure Time) |
E63685
|
entity |
| Predicate | defeatedBy |
P11263
|
FINISHED |
| Object | Sweet P |
E308920
|
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: Sweet P | Statement: [The Lich (Adventure Time), defeatedBy, Sweet P]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet P Context triple: [The Lich (Adventure Time), defeatedBy, Sweet P]
-
A.
Sweet P
chosen
Sweet P is a gentle, childlike character in Adventure Time who embodies the reborn, innocent form of the once-evil Lich.
-
B.
Sweetness
Sweetness is a central character in Toni Morrison’s novel "God Help the Child," known as the light-skinned mother whose harsh treatment of her dark-skinned daughter explores themes of colorism, shame, and maternal love.
-
C.
Sweeter
"Sweeter" is a soulful pop-rock song by American singer-songwriter Gavin DeGraw, known for its catchy melody and emotionally charged lyrics.
-
D.
Too Sweet
"Too Sweet" is a soulful, blues-inflected song by Irish singer-songwriter Hozier that explores themes of desire, temptation, and moral conflict.
-
E.
Sweetener
Sweetener is Ariana Grande's critically acclaimed fourth studio album, noted for its blend of pop and R&B with innovative production and themes of healing and empowerment.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0ea0ae4819096f17d74072b0b78 |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0865c719c8190aacafe236b02c844 |
completed | March 10, 2026, 9 p.m. |
Created at: March 6, 2026, 10:11 p.m.