Triple
T17263776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fame (TV series) |
E419068
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Shorofsky
Shorofsky is a stern but caring music teacher and mentor character from the television series "Fame."
|
E1259004
|
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: Shorofsky | Statement: [Fame (TV series), mainCharacter, Shorofsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shorofsky Context triple: [Fame (TV series), mainCharacter, Shorofsky]
-
A.
Rosofsky
Rosofsky is a Jewish surname associated with individuals such as the American boxer and war hero Barney Ross, whose birth name was Barnet David Rosofsky.
-
B.
Shafroth
Shafroth is a surname most notably associated with John F. Shafroth, an American politician who served as a U.S. Representative, Senator, and Governor of Colorado in the early 20th century.
-
C.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
D.
Stoloff
Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
-
E.
Schafer
Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
- 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: Shorofsky Triple: [Fame (TV series), mainCharacter, Shorofsky]
Generated description
Shorofsky is a stern but caring music teacher and mentor character from the television series "Fame."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shorofsky Target entity description: Shorofsky is a stern but caring music teacher and mentor character from the television series "Fame."
-
A.
Rosofsky
Rosofsky is a Jewish surname associated with individuals such as the American boxer and war hero Barney Ross, whose birth name was Barnet David Rosofsky.
-
B.
Shafroth
Shafroth is a surname most notably associated with John F. Shafroth, an American politician who served as a U.S. Representative, Senator, and Governor of Colorado in the early 20th century.
-
C.
Zaslofsky
Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
-
D.
Stoloff
Stoloff is a surname most notably associated with Morris Stoloff, an American musical director and composer prominent in Hollywood film music.
-
E.
Schafer
Schafer is a surname of German origin borne by various notable individuals across fields such as entertainment, sports, and academia.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4379848190add32ba8e5f93527 |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0171054f388190bf068ca2e6b88458 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a0173faebf48190a1334a205cd9804a |
completed | May 11, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0174a41204819097b9aeff2c09cffe |
completed | May 11, 2026, 6:18 a.m. |
Created at: April 10, 2026, 5:40 a.m.