Triple
T5506069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamal Lyon |
E144442
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Cookie Lyon |
E140780
|
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: Cookie Lyon | Statement: [Jamal Lyon, closeTo, Cookie Lyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookie Lyon Context triple: [Jamal Lyon, closeTo, Cookie Lyon]
-
A.
Cookie Lyon
chosen
Cookie Lyon is a fierce, sharp-tongued matriarch and music mogul on the TV drama "Empire," known for her bold style, street smarts, and ruthless devotion to her family and their record label.
-
B.
La Crêperie de Paris
La Crêperie de Paris is a French-inspired restaurant at EPCOT in Walt Disney World, specializing in sweet and savory crêpes and galettes.
-
C.
Bondoufle
Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
-
D.
Boul’Mich’
Boul’Mich’ is the popular nickname for Boulevard Saint‑Michel, a major Parisian thoroughfare known for its lively student atmosphere and proximity to the Latin Quarter.
-
E.
Bitchois
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04caef4e881909811f69360299a68 |
completed | March 22, 2026, 8:10 p.m. |
Created at: March 22, 2026, 3:32 p.m.