Triple
T13222267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert "Sock" Wysocki |
E314782
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Ben Gonzalez |
E1027922
|
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: Ben Gonzalez | Statement: [Bert "Sock" Wysocki, friendOf, Ben Gonzalez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Gonzalez Context triple: [Bert "Sock" Wysocki, friendOf, Ben Gonzalez]
-
A.
Ben Gonzalez
chosen
Ben Gonzalez is a character in the television series "The Flash," known as a friend and associate of Bert "Sock" Wysocki.
-
B.
John Gonzalez
John Gonzalez is a video game writer best known as the narrative director and lead writer of the acclaimed action role-playing game Horizon Zero Dawn.
-
C.
Matt Martinez
Matt Martinez is an American former Miami Hurricanes football player and firefighter best known as the ex-husband of supermodel Niki Taylor.
-
D.
Nicholas Gonzalez
Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
-
E.
Daniel Lugo
Daniel Lugo is the ambitious, bodybuilding ringleader of the criminal scheme at the center of the dark comedy crime film "Pain & Gain."
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3407388190bef886884cb75912 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:18 p.m.