Triple
T20408124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under My Skin |
E500522
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Evan Taubenfeld
Evan Taubenfeld is an American musician, songwriter, and producer best known for his work with Avril Lavigne and contributions to early 2000s pop-punk music.
|
E1443516
|
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: Evan Taubenfeld | Statement: [Under My Skin, producer, Evan Taubenfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Taubenfeld Context triple: [Under My Skin, producer, Evan Taubenfeld]
-
A.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
B.
Evan Lottman
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
C.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
D.
Evan Ross
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
E.
Ethan Buchman
Ethan Buchman is a blockchain researcher and entrepreneur best known as a co-founder and core architect of the Cosmos ecosystem and the Tendermint consensus protocol.
- 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: Evan Taubenfeld Triple: [Under My Skin, producer, Evan Taubenfeld]
Generated description
Evan Taubenfeld is an American musician, songwriter, and producer best known for his work with Avril Lavigne and contributions to early 2000s pop-punk music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evan Taubenfeld Target entity description: Evan Taubenfeld is an American musician, songwriter, and producer best known for his work with Avril Lavigne and contributions to early 2000s pop-punk music.
-
A.
Evan Schiff
Evan Schiff is a film editor known for his work on high-profile action movies, including entries in the John Wick franchise.
-
B.
Evan Lottman
Evan Lottman was an American film editor known for his work on notable films of the 1970s and 1980s.
-
C.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
D.
Evan Ross
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
E.
Ethan Buchman
Ethan Buchman is a blockchain researcher and entrepreneur best known as a co-founder and core architect of the Cosmos ecosystem and the Tendermint consensus protocol.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3d03ac81908f37b907ccbb5088 |
completed | April 20, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd474d488190936ea776ee43f50c |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d174278481909db394da2a7ff969 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:29 a.m.