Triple
T17072425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pi’erre Bourne |
E414255
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jordan Timothy Jenks |
E369718
|
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: Jordan Timothy Jenks | Statement: [Pi’erre Bourne, birthName, Jordan Timothy Jenks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Timothy Jenks Context triple: [Pi’erre Bourne, birthName, Jordan Timothy Jenks]
-
A.
Jordan Timothy Jenks
chosen
Jordan Timothy Jenks, better known as Pi’erre Bourne, is an American record producer, rapper, and audio engineer recognized for his influential work in modern hip-hop and collaborations with artists like Playboi Carti and Young Nudy.
-
B.
Luke Jennings
Luke Jennings is a British author and former dance critic best known for creating the Villanelle novels that inspired the television series "Killing Eve."
-
C.
Jordan Nathaniel
Jordan Nathaniel is an author known for writing the work titled "Borderline."
-
D.
Eric Jenkins
Eric Jenkins is a film editor known for his work on the influential 1982 teen comedy-drama "Fast Times at Ridgemont High."
-
E.
Jonas Taylor
Jonas Taylor is the deep-sea rescue diver and shark-fighting protagonist of the sci-fi action film series "The Meg."
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc1b7d48190979a848b4188cb22 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edbce988190a784448ba8a258a5 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.