Triple
T20228831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born to Die |
E495462
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Justin Parker |
E1420061
|
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: Justin Parker | Statement: [Born to Die, producer, Justin Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Parker Context triple: [Born to Die, producer, Justin Parker]
-
A.
Justin Parker
Justin Parker is a video game writer known for crafting narratives and dialogue for interactive entertainment titles.
-
B.
Justin Parker
chosen
Justin Parker is a British songwriter and producer best known for co-writing hit pop songs for artists like Lana Del Rey and Rihanna.
-
C.
Jason Frasor
Jason Frasor is a former Major League Baseball relief pitcher best known for his long tenure with the Toronto Blue Jays and key bullpen roles for several playoff teams.
-
D.
Chris Briggs
Chris Briggs is a character in the horror-comedy film "The Final Girls," serving as the charming love interest and supportive friend within the movie’s meta slasher storyline.
-
E.
Michael Parker
Michael Parker is a literary scholar and editor known for his work on classic novels such as Edith Wharton's "The House of Mirth."
- 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_6a085a15b7848190b55a1e8b52503690 |
completed | May 16, 2026, 11:50 a.m. |
Created at: April 11, 2026, 11:39 p.m.