Triple
T4687807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramy |
E103962
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
|
E523668
|
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: Mike Tuccillo | Statement: [Ramy, composer, Mike Tuccillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Tuccillo Context triple: [Ramy, composer, Mike Tuccillo]
-
A.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
B.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
C.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
D.
Mike Gruttadauria
Mike Gruttadauria is a former NFL center best known for anchoring the offensive line of the high-powered "Greatest Show on Turf" St. Louis Rams that won Super Bowl XXXIV.
-
E.
Joe Rinaldi
Joe Rinaldi was an American screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
- 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: Mike Tuccillo Triple: [Ramy, composer, Mike Tuccillo]
Generated description
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Tuccillo Target entity description: Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
-
A.
Mike Piscitelli
Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
-
B.
Mike Larocca
Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
-
C.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
D.
Mike Gruttadauria
Mike Gruttadauria is a former NFL center best known for anchoring the offensive line of the high-powered "Greatest Show on Turf" St. Louis Rams that won Super Bowl XXXIV.
-
E.
Joe Rinaldi
Joe Rinaldi was an American screenwriter and story artist best known for his work on classic Walt Disney animated films in the mid-20th century.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c27ce8c81908253c7639207fd3c |
completed | March 22, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69bf6ca445fc8190bad2b7be4ff03d18 |
completed | March 22, 2026, 4:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf6d16d93881908099725423926c1d |
completed | March 22, 2026, 4:16 a.m. |
Created at: March 20, 2026, 1:16 p.m.