Triple
T20228830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born to Die |
E495462
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Patrik Berger |
E339739
|
NE FINISHED |
How this triple was built (2 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: Patrik Berger | Statement: [Born to Die, producer, Patrik Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrik Berger Context triple: [Born to Die, producer, Patrik Berger]
-
A.
Patrik Berger
chosen
Patrik Berger is a Swedish songwriter and record producer known for crafting pop hits for artists such as Robyn, Charli XCX, and Icona Pop.
-
B.
Patrik Eliáš
Patrik Eliáš is a retired Czech ice hockey forward best known for his long and successful NHL career with the New Jersey Devils, with whom he won two Stanley Cups.
-
C.
Pavel Beránek
Pavel Beránek is a Czech professional ice hockey player known for his career in European leagues.
-
D.
Martin Pradler
Martin Pradler is a music producer and engineer known for his work on film scores and contemporary music projects.
-
E.
Dominik Kubalík
Dominik Kubalík is a Czech professional ice hockey forward known for his goal-scoring ability in international play and the NHL.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdb61b08190b850a9648ebfb720 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b8a75b08190ae88c36f275c438b |
completed | May 16, 2026, 10:48 a.m. |
Created at: April 11, 2026, 11:39 p.m.