Triple
T8881459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Szmanda |
E211419
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Ray Szmanda
Ray Szmanda was an American radio and television announcer best known as the longtime, enthusiastic pitchman for the Menards home improvement store chain.
|
E765545
|
NE FINISHED |
How this triple was built (4 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: Ray Szmanda | Statement: [Eric Szmanda, hasRelative, Ray Szmanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Szmanda Context triple: [Eric Szmanda, hasRelative, Ray Szmanda]
-
A.
Eric Szmanda
Eric Szmanda is an American actor best known for playing forensic investigator Greg Sanders on the television series "CSI: Crime Scene Investigation."
-
B.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
C.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
D.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
-
E.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ray Szmanda Triple: [Eric Szmanda, hasRelative, Ray Szmanda]
Generated description
Ray Szmanda was an American radio and television announcer best known as the longtime, enthusiastic pitchman for the Menards home improvement store chain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Szmanda Target entity description: Ray Szmanda was an American radio and television announcer best known as the longtime, enthusiastic pitchman for the Menards home improvement store chain.
-
A.
Eric Szmanda
Eric Szmanda is an American actor best known for playing forensic investigator Greg Sanders on the television series "CSI: Crime Scene Investigation."
-
B.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
C.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
D.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
-
E.
Jeff Jagodzinski
Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
- F. None of above. chosen
Provenance (5 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1809dc81909776f1268cae9004 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbacea9408190a38f14817437c382 |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb6235148190850865a734d55a6c |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 30, 2026, 6:53 p.m.