Triple
T14727781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolate Factory |
E345987
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Snake |
E440905
|
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: Snake | Statement: [Chocolate Factory, notableSingle, Snake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snake Context triple: [Chocolate Factory, notableSingle, Snake]
-
A.
Snake
chosen
"Snake" is a raw, intense track by PJ Harvey from her critically acclaimed 1993 album "Rid of Me."
-
B.
Snake
Snake is a large, spiraling steel sculpture by Richard Serra that forms part of his monumental installation "The Matter of Time" at the Guggenheim Museum Bilbao.
-
C.
Snake
Snake is the central protagonist of the 1993 action film "Airborne," around whom the movie’s primary conflicts and narrative developments revolve.
-
D.
Snake
Snake is a classic mobile arcade game in which the player guides a growing line to collect items while avoiding collisions with walls and its own tail.
-
E.
Snake
"Snake" is a famous poem by D. H. Lawrence that explores a charged encounter between a man and a snake, delving into themes of nature, guilt, and the conflict between instinct and social conditioning.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf099eaf48190b89032b6ac769e67 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.