Triple
T14643276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbaugh Bowl |
E343779
|
entity |
| Predicate | MVP |
P2630
|
FINISHED |
| Object | Joe Flacco |
E76386
|
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: Joe Flacco | Statement: [Harbaugh Bowl, MVP, Joe Flacco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Flacco Context triple: [Harbaugh Bowl, MVP, Joe Flacco]
-
A.
Joe Flacco
chosen
Joe Flacco is an American NFL quarterback best known for leading the Baltimore Ravens to a Super Bowl championship and earning the game's MVP honors.
-
B.
Tyrod Taylor
Tyrod Taylor is an American football quarterback who has played for multiple NFL teams and is known for his dual-threat ability as both a passer and runner.
-
C.
Andy Dalton
Andy Dalton is an American NFL quarterback best known for his tenure as the longtime starter for the Cincinnati Bengals, where he led multiple playoff appearances.
-
D.
Carl Harbaugh
Carl Harbaugh was an American actor and filmmaker active in the early 20th century, known for his roles in silent films.
-
E.
Matt Ryan
Matt Ryan is a Welsh actor best known for playing the occult detective John Constantine in television and animated adaptations of DC Comics.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d404e881908d26e684702ae122 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.