Triple
T19912987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Roses |
E478594
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tom Schick
Tom Schick is an American recording engineer and producer known for his work with artists such as Ryan Adams, Wilco, and Mavis Staples.
|
E1404736
|
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: Tom Schick | Statement: [Cold Roses, producer, Tom Schick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Schick Context triple: [Cold Roses, producer, Tom Schick]
-
A.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
B.
Tom Schaul
Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
-
C.
Dennis Schuetz
Dennis Schuetz was an American writer who, together with Michael McDowell, published mystery novels under the joint pseudonym Nathan Aldyne.
-
D.
Alan Schilke
Alan Schilke is a prominent roller coaster engineer known for designing innovative and extreme thrill rides for major amusement parks worldwide.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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: Tom Schick Triple: [Cold Roses, producer, Tom Schick]
Generated description
Tom Schick is an American recording engineer and producer known for his work with artists such as Ryan Adams, Wilco, and Mavis Staples.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Schick Target entity description: Tom Schick is an American recording engineer and producer known for his work with artists such as Ryan Adams, Wilco, and Mavis Staples.
-
A.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
B.
Tom Schaul
Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
-
C.
Dennis Schuetz
Dennis Schuetz was an American writer who, together with Michael McDowell, published mystery novels under the joint pseudonym Nathan Aldyne.
-
D.
Alan Schilke
Alan Schilke is a prominent roller coaster engineer known for designing innovative and extreme thrill rides for major amusement parks worldwide.
-
E.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659917fdc8190bf29bfdab0fe8f85 |
completed | April 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdc045008190bb1f33fa931dff21 |
completed | May 16, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_6a07fe72f47c8190b63c6f528656329e |
completed | May 16, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080261c6f88190a2ede168aab944b6 |
completed | May 16, 2026, 5:36 a.m. |
Created at: April 10, 2026, 1:53 p.m.