Triple
T10662997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipski |
E251274
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Sam Lipski
Sam Lipski is an Australian journalist, editor, and commentator known for his work in print and broadcast media and his leadership in Jewish community affairs.
|
E876621
|
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: Sam Lipski | Statement: [Lipski, hasNotableBearer, Sam Lipski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Lipski Context triple: [Lipski, hasNotableBearer, Sam Lipski]
-
A.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
B.
Ryan Warsofsky
Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
-
C.
Brad Lipson
Brad Lipson is a cinematographer known for his work on feature films such as the comedy "The Wedding Ringer."
-
D.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
E.
Eric Dapkewicz
Eric Dapkewicz is a film editor best known for his work on major animated features, including DreamWorks Animation’s "Puss in Boots."
- 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: Sam Lipski Triple: [Lipski, hasNotableBearer, Sam Lipski]
Generated description
Sam Lipski is an Australian journalist, editor, and commentator known for his work in print and broadcast media and his leadership in Jewish community affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Lipski Target entity description: Sam Lipski is an Australian journalist, editor, and commentator known for his work in print and broadcast media and his leadership in Jewish community affairs.
-
A.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
B.
Ryan Warsofsky
Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
-
C.
Brad Lipson
Brad Lipson is a cinematographer known for his work on feature films such as the comedy "The Wedding Ringer."
-
D.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
E.
Eric Dapkewicz
Eric Dapkewicz is a film editor best known for his work on major animated features, including DreamWorks Animation’s "Puss in Boots."
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31db6288190857533213fa9f20d |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9566e08190a92b49ce73963078 |
completed | April 10, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_69d97cc2b66c8190909a23927fbe3af5 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e189800819087bf6af15b2370a2 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:08 p.m.