Triple
T12774417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birds, Beasts and Flowers |
E305329
|
entity |
| Predicate | notablePoem |
P4
|
FINISHED |
| Object | The Mosquito |
E1002660
|
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: The Mosquito | Statement: [Birds, Beasts and Flowers, notablePoem, The Mosquito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mosquito Context triple: [Birds, Beasts and Flowers, notablePoem, The Mosquito]
-
A.
The Mosquito
chosen
The Mosquito is a poem by D. H. Lawrence that vividly personifies the insect to explore themes of irritation, intimacy, and the uneasy relationship between humans and nature.
-
B.
The Mosquito Brothers
The Mosquito Brothers is a children's book by Canadian author Griffin Ondaatje, known for its imaginative storytelling and playful exploration of friendship and adventure.
-
C.
Mosquito Heaven
Mosquito Heaven was the nickname for Colt Stadium, the early 1960s home of the Houston Colt .45s, notorious for its swarms of mosquitoes and uncomfortable outdoor conditions.
-
D.
The Pest
The Pest is a 1997 slapstick comedy film starring John Leguizamo as a fast-talking con artist who becomes the target of a deadly manhunt.
-
E.
The Wasp
The Wasp is a Marvel superhero, often portrayed as a size-changing, flying Avenger who fights alongside Ant-Man using advanced Pym particle technology.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eba76008190ad9df2e2a5423471 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:29 p.m.