Triple
T21691412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Spirit |
E535377
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Stan Terlecki
Stan Terlecki was a Polish forward known for his prolific scoring and playmaking in indoor soccer, particularly in the Major Indoor Soccer League during the 1980s.
|
E1497260
|
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: Stan Terlecki | Statement: [Pittsburgh Spirit, notablePlayer, Stan Terlecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Terlecki Context triple: [Pittsburgh Spirit, notablePlayer, Stan Terlecki]
-
A.
Stan Miasek
Stan Miasek was an American professional basketball player best known for his early NBA career in the late 1940s and early 1950s.
-
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.
Tom Jankiewicz
Tom Jankiewicz was an American screenwriter best known for writing the cult dark comedy film "Grosse Pointe Blank."
-
D.
Eric Dapkewicz
Eric Dapkewicz is a film editor best known for his work on major animated features, including DreamWorks Animation’s "Puss in Boots."
-
E.
Michael Lachowski
Michael Lachowski is an American musician best known as the bassist for the influential Athens, Georgia post-punk band Pylon.
- 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: Stan Terlecki Triple: [Pittsburgh Spirit, notablePlayer, Stan Terlecki]
Generated description
Stan Terlecki was a Polish forward known for his prolific scoring and playmaking in indoor soccer, particularly in the Major Indoor Soccer League during the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stan Terlecki Target entity description: Stan Terlecki was a Polish forward known for his prolific scoring and playmaking in indoor soccer, particularly in the Major Indoor Soccer League during the 1980s.
-
A.
Stan Miasek
Stan Miasek was an American professional basketball player best known for his early NBA career in the late 1940s and early 1950s.
-
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.
Tom Jankiewicz
Tom Jankiewicz was an American screenwriter best known for writing the cult dark comedy film "Grosse Pointe Blank."
-
D.
Eric Dapkewicz
Eric Dapkewicz is a film editor best known for his work on major animated features, including DreamWorks Animation’s "Puss in Boots."
-
E.
Michael Lachowski
Michael Lachowski is an American musician best known as the bassist for the influential Athens, Georgia post-punk band Pylon.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cfaab08190b400e1538afc8c43 |
completed | April 27, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a1e25541c8190a1194149a8961f70 |
completed | May 17, 2026, 7:59 p.m. |
| NEDg | Description generation | batch_6a0a1ee2662c8190887c9fd2073fcd12 |
completed | May 17, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1fb328e081908b39b4c85cb23d1e |
completed | May 17, 2026, 8:06 p.m. |
Created at: April 16, 2026, 6:45 p.m.