Triple
T6101218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Bottom |
E135998
|
entity |
| Predicate | interactsWith |
P3970
|
FINISHED |
| Object | Snug |
E494618
|
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: Snug | Statement: [Nick Bottom, interactsWith, Snug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snug Context triple: [Nick Bottom, interactsWith, Snug]
-
A.
Snug
chosen
Snug is a minor comic character in Shakespeare's "A Midsummer Night's Dream," a simple joiner who nervously plays the lion in the craftsmen's play.
-
B.
Quilted Northern
Quilted Northern is a well-known American toilet paper brand recognized for its softness, comfort, and quilted texture.
-
C.
Veedon Fleece
Veedon Fleece is a 1974 studio album by Irish singer-songwriter Van Morrison, often praised for its introspective lyrics and lush, folk-influenced sound.
-
D.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
E.
Creature Comforts
Creature Comforts is a quick-service dining location at Disney’s Animal Kingdom known for serving coffee, pastries, and snacks in a themed, park-friendly setting.
- 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_69c1254b963081908e8e45968a7b29aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.