Triple
T15219384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Vendrell |
E363722
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object | Curtis Lemansky |
E1040532
|
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: Curtis Lemansky | Statement: [Shane Vendrell, closeColleague, Curtis Lemansky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curtis Lemansky Context triple: [Shane Vendrell, closeColleague, Curtis Lemansky]
-
A.
Curtis "Lem" Lemansky
chosen
Curtis "Lem" Lemansky is a loyal but morally conflicted member of the Strike Team on the television series "The Shield," known for his strong conscience and tragic fate.
-
B.
Don Saleski
Don Saleski is a former NHL right winger best known for his gritty, physical play with the Philadelphia Flyers during their 1970s "Broad Street Bullies" era.
-
C.
Chris Lemmon
Chris Lemmon is an American actor and author, known for his work in film and television and for being the son of acclaimed actor Jack Lemmon.
-
D.
Bill LeMonnier
Bill LeMonnier is an American college football official known for refereeing prominent NCAA games, including major bowl matchups.
-
E.
Duane Schuler
Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92b99c48190b76e1306cf32a568 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 3:11 a.m.