Triple
T10920478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Lopez |
E257932
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object | Matt Murdock |
E442996
|
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: Matt Murdock | Statement: [Maya Lopez, loveInterest, Matt Murdock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Murdock Context triple: [Maya Lopez, loveInterest, 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.
Jeremiah Danvers
Jeremiah Danvers is a character in the Arrowverse TV series "Supergirl," known as Kara Danvers' adoptive father and a former DEO scientist.
-
D.
Ben Urich
Ben Urich is a seasoned investigative reporter in Marvel Comics, best known for uncovering superhero secrets and exposing corruption in New York City.
-
E.
Harvey Fuqua
Harvey Fuqua was an influential American R&B singer, songwriter, record producer, and Motown figure known for his work with acts like Marvin Gaye and his role in shaping the label’s classic sound.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77081a0c48190b7aa4a482032d1ea |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2171adbbc8190916a5463b6e5c186 |
completed | April 17, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:22 p.m.