Triple
T6446826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robbie Lawler |
E138362
|
entity |
| Predicate | promotion |
P8176
|
FINISHED |
| Object | IFL |
E389110
|
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: IFL | Statement: [Robbie Lawler, promotion, IFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IFL Context triple: [Robbie Lawler, promotion, IFL]
-
A.
LFL
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
-
B.
LFL
LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
-
C.
Indoor Football League
chosen
The Indoor Football League is a professional indoor American football league in the United States featuring teams that play a faster-paced, arena-style version of the sport.
-
D.
DFL
DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
-
E.
UFL
UFL is a common abbreviation for the University of Florida, a major public research university in Gainesville known for its strong academics and athletics.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698edeac81909426902471d8a57b |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bcd09e0819097eb60d13e8058dd |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:46 p.m.