Triple
T10465716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How the Mighty Fall |
E246788
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stephen Street |
E866299
|
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: Stephen Street | Statement: [How the Mighty Fall, producer, Stephen Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Street Context triple: [How the Mighty Fall, producer, Stephen Street]
-
A.
Stephen Street
chosen
Stephen Street is a renowned English record producer best known for his work with The Smiths, Blur, and other prominent alternative rock and Britpop artists.
-
B.
David Street
David Street was an American singer and actor active in the mid-20th century, known for his work in radio, film, and television.
-
C.
Michael Street
Michael Street is an individual known primarily for being in conflict with Valerian Street.
-
D.
Sam Street
Sam Street is an entrepreneur best known as a co-founder of the on-demand delivery service Postmates.
-
E.
Jason Street
Jason Street is a fictional high school quarterback whose life is transformed by a devastating injury in the television series "Friday Night Lights."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.