Triple
T23031409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaDainian Tomlinson |
E573470
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | LaDainian |
—
|
NE NERFINISHED |
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: LaDainian | Statement: [LaDainian Tomlinson, givenName, LaDainian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaDainian Context triple: [LaDainian Tomlinson, givenName, LaDainian]
-
A.
LaDainian
chosen
LaDainian is a former NFL running back best known for his prolific career with the San Diego Chargers and his 2006 MVP season.
-
B.
Ser'Darius Blain
Ser'Darius Blain is an American actor best known for his role as Anthony "Fridge" Johnson in the recent Jumanji film series.
-
C.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
-
D.
Jamael Orondé Barber
Jamael Orondé Barber, better known as Ronde Barber, is a former NFL cornerback renowned for his long, standout career with the Tampa Bay Buccaneers and his role in their Super Bowl XXXVII victory.
-
E.
Darnell McDonald
Darnell McDonald is a former professional American football wide receiver best known for his play in the XFL and NFL.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18481072c81909ab2a2c87e034433 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.