Triple
T4098083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway Joe |
E87870
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | Los Angeles Rams |
E22109
|
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: Los Angeles Rams | Statement: [Broadway Joe, team, Los Angeles Rams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles Rams Context triple: [Broadway Joe, team, Los Angeles Rams]
-
A.
Los Angeles Rams
chosen
The Los Angeles Rams are a professional American football team in the NFL known for their multiple Super Bowl appearances and championships.
-
B.
Rams
The Rams are the athletic teams representing Shepherd University in intercollegiate sports.
-
C.
Los Angeles Chargers
The Los Angeles Chargers are a professional American football team in the NFL known for their high-powered offenses and history in both the AFL and NFL.
-
D.
The Rams
The Rams is the nickname of Derby County Football Club, a professional English football team based in Derby that has a long history in the English league system.
-
E.
San Francisco 49ers
The San Francisco 49ers are a professional American football team based in the San Francisco Bay Area, known for their rich history and multiple Super Bowl championships.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefce017708190a4d33753fd32a7bb |
completed | March 9, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576a1a0408190aa4683a0904790aa |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:40 p.m.