Triple
T17662487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distorted Humor |
E440285
|
entity |
| Predicate | notableProgeny |
P50188
|
FINISHED |
| Object | Flower Alley |
—
|
NE NERFINISHED |
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: Flower Alley | Statement: [Distorted Humor, notableProgeny, Flower Alley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flower Alley Context triple: [Distorted Humor, notableProgeny, Flower Alley]
-
A.
Flower Alley
chosen
Flower Alley is an American Thoroughbred racehorse best known for winning the 2005 Travers Stakes and later becoming a successful sire.
-
B.
Phool Patti Lane
Phool Patti Lane is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
-
C.
Balmy Alley
Balmy Alley is a famous alley in San Francisco’s Mission District known for its dense concentration of vibrant political and cultural murals.
-
D.
Camomile Street
Camomile Street is a road in the City of London’s financial district, situated near landmarks such as the Gherkin and other major commercial buildings.
-
E.
Avenue of May
Avenue of May is the English name for Buenos Aires’ historic Avenida de Mayo, a grand boulevard known for its political significance and European-style architecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:48 a.m.