Triple
T22045599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendell Tyler |
E544754
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wendell Tyler |
—
|
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: Wendell Tyler | Statement: [Wendell Tyler, name, Wendell Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendell Tyler Context triple: [Wendell Tyler, name, Wendell Tyler]
-
A.
Wendell Tyler
chosen
Wendell Tyler is a former American football running back best known for his NFL career with the Los Angeles Rams and San Francisco 49ers, with whom he won a Super Bowl.
-
B.
Wendell Burton
Wendell Burton was an American actor best known for his breakout role opposite Liza Minnelli in the 1969 film "The Sterile Cuckoo."
-
C.
Wendell Walker
"Wendell Walker" is a song by Canadian singer-songwriter Andy Shauf, known for his narrative, folk-influenced style.
-
D.
Leland Tyler Wayne
Leland Tyler Wayne is an American record producer and songwriter, best known professionally as Metro Boomin for his influential work in hip-hop and trap music.
-
E.
Wendell Ryder
Wendell Ryder is a fictional protagonist whose story centers on his personal journey and the challenges he faces in his narrative world.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282e647481908e054b3ad19e2c15 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.