Triple
T6101211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Bottom |
E135998
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | Puck |
E135997
|
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: Puck | Statement: [Nick Bottom, interactsWith, Puck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puck Context triple: [Nick Bottom, interactsWith, Puck]
-
A.
Puck
chosen
Puck is the mischievous fairy servant of Oberon in Shakespeare’s *A Midsummer Night’s Dream*, known for causing magical confusion among the human lovers.
-
B.
Puck
Puck is a small historic coastal town in northern Poland on the Baltic Sea, known for its maritime heritage and picturesque harbor.
-
C.
Puckman
Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
-
D.
Hoggle
Hoggle is a gruff yet ultimately loyal dwarf-like creature from the fantasy film "Labyrinth," who helps guide the protagonist through the maze.
-
E.
Nick Bottom
Nick Bottom is a comically overconfident weaver in Shakespeare's *A Midsummer Night’s Dream* who is famously transformed to have a donkey’s head and becomes the unwitting object of the fairy queen Titania’s enchanted love.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14158c4fc81908a42e431423284d2 |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:13 p.m.