Triple
T17746243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foggy Nelson |
E442997
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object | Matt Murdock |
—
|
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: Matt Murdock | Statement: [Foggy Nelson, businessPartner, Matt Murdock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Murdock Context triple: [Foggy Nelson, businessPartner, Matt Murdock]
-
A.
Matt Murdock
chosen
Matt Murdock is a blind lawyer from Hell’s Kitchen who fights crime as the masked vigilante Daredevil in Marvel Comics.
-
B.
Max Dillon
Max Dillon is a Marvel Comics character who becomes the electricity-manipulating supervillain Electro and serves as one of Spider-Man’s primary adversaries.
-
C.
John Drake
John Drake is the resourceful and unflappable secret agent protagonist of the 1960s British television series "Danger Man."
-
D.
Jeremiah Danvers
Jeremiah Danvers is a character in the Arrowverse TV series "Supergirl," known as Kara Danvers' adoptive father and a former DEO scientist.
-
E.
Dirk Courtney
Dirk Courtney is the central protagonist of Wilbur Smith’s novel "A Sparrow Falls," a character whose life and adventures reflect the tumultuous history and rugged landscapes of early 20th-century South Africa.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.