Triple
T12061639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Marino |
E287184
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Daniel Marino III |
E287184
|
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: Daniel Marino III | Statement: [Dan Marino, child, Daniel Marino III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Marino III Context triple: [Dan Marino, child, Daniel Marino III]
-
A.
Daniel Marino III
chosen
Daniel Marino III is the son of Pro Football Hall of Fame quarterback Dan Marino.
-
B.
Jamal Manning
Jamal Manning is a fictional Chicago crime boss and aspiring politician who serves as one of the primary antagonists in the heist thriller film "Widows" (2018).
-
C.
DeSean Jackson
DeSean Jackson is an American former NFL wide receiver and return specialist known for his explosive speed and game-changing big plays, including iconic punt return touchdowns.
-
D.
Tre'Von Willis
Tre'Von Willis is an American former college basketball guard best known for his standout career at UNLV, where he emerged as one of the Mountain West Conference’s top players.
-
E.
Vinny Testaverde
Vinny Testaverde is a former American football quarterback who starred at the University of Miami before enjoying a long NFL career with multiple teams.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6532a048190b53f96c9df948dda |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.