Triple
T17126815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Hartley |
E415617
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jesse |
E35709
|
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: Jesse | Statement: [Jesse Hartley, givenName, Jesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Context triple: [Jesse Hartley, givenName, Jesse]
-
A.
Jesse
chosen
Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
-
B.
Jesse
Jesse is a prominent Urhobo clan and town in Delta State, Nigeria, known for its cultural heritage and role within the Urhobo ethnic group.
-
C.
Jesse
Jesse is an ambitious young aspiring model whose unsettling rise in the Los Angeles fashion world drives the psychological horror narrative of *The Neon Demon*.
-
D.
Jesse
Jesse is a central, Christ-like drifter character in the surreal 1972 Western film "Greaser’s Palace," whose miraculous abilities and enigmatic presence drive the movie’s offbeat religious allegory.
-
E.
Jesse
Jesse is a fictional character portrayed by actor Ryan Hansen, known for his roles in television comedies and dramas.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f027a3d081908fc1134b50db3d45 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a145e7481909242aab69baeb7a0 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.