Triple
T14359134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaolin vs. Wu-Tang |
E356049
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tommy Nova
Tommy Nova is a music producer known for his work on hip-hop projects such as the track "Shaolin vs. Wu-Tang."
|
E1094788
|
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: Tommy Nova | Statement: [Shaolin vs. Wu-Tang, producer, Tommy Nova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Nova Context triple: [Shaolin vs. Wu-Tang, producer, Tommy Nova]
-
A.
Tommy Barban
Tommy Barban is a daring and enigmatic soldier of fortune who plays a pivotal role in F. Scott Fitzgerald’s novel "Tender Is the Night."
-
B.
Tommy Vig
Tommy Vig is a Hungarian-American jazz vibraphonist, composer, and bandleader known for his work in both European and American jazz scenes.
-
C.
Tommy Lipuma
Tommy LiPuma was an influential American record producer and music industry executive known for his work with major pop and jazz artists across several decades.
-
D.
Richie DiMaso
Richie DiMaso is an ambitious and volatile FBI agent in the film "American Hustle" who drives the high-stakes sting operation at the story’s center.
-
E.
Tommy Swerdlow
Tommy Swerdlow is an American screenwriter, actor, and director known for co-writing family films such as "The Grinch" (2018) and "Cool Runnings."
- 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: Tommy Nova Triple: [Shaolin vs. Wu-Tang, producer, Tommy Nova]
Generated description
Tommy Nova is a music producer known for his work on hip-hop projects such as the track "Shaolin vs. Wu-Tang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tommy Nova Target entity description: Tommy Nova is a music producer known for his work on hip-hop projects such as the track "Shaolin vs. Wu-Tang."
-
A.
Tommy Barban
Tommy Barban is a daring and enigmatic soldier of fortune who plays a pivotal role in F. Scott Fitzgerald’s novel "Tender Is the Night."
-
B.
Tommy Vig
Tommy Vig is a Hungarian-American jazz vibraphonist, composer, and bandleader known for his work in both European and American jazz scenes.
-
C.
Tommy Lipuma
Tommy LiPuma was an influential American record producer and music industry executive known for his work with major pop and jazz artists across several decades.
-
D.
Richie DiMaso
Richie DiMaso is an ambitious and volatile FBI agent in the film "American Hustle" who drives the high-stakes sting operation at the story’s center.
-
E.
Tommy Swerdlow
Tommy Swerdlow is an American screenwriter, actor, and director known for co-writing family films such as "The Grinch" (2018) and "Cool Runnings."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c48dd408190ac45ad4ca6f610c3 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cf6e6788190a98479ed3b615a4e |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d6dd7c481908f53f8902ee714dd |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.