Triple
T15074795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Gilley |
E379970
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gilley
Gilley is the surname of American country music singer and pianist Mickey Gilley, known for his string of hits and his influential honky-tonk nightclub in Pasadena, Texas.
|
E1134846
|
NE FINISHED |
How this triple was built (4 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: Gilley | Statement: [Mickey Gilley, familyName, Gilley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilley Context triple: [Mickey Gilley, familyName, Gilley]
-
A.
Gillooly
Gillooly is the family surname of acclaimed American actress Ellen Burstyn, reflecting her birth name before she adopted her stage surname.
-
B.
Gilliland
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Gilliatt
Gilliatt is the solitary, resourceful fisherman and central hero of Victor Hugo’s novel *Les Travailleurs de la mer*, known for his epic struggle against the sea.
-
D.
Gilby
Gilby is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
-
E.
Gillespie
Gillespie is a Scottish-origin surname most famously associated with American jazz trumpeter and composer Dizzy Gillespie.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gilley Triple: [Mickey Gilley, familyName, Gilley]
Generated description
Gilley is the surname of American country music singer and pianist Mickey Gilley, known for his string of hits and his influential honky-tonk nightclub in Pasadena, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gilley Target entity description: Gilley is the surname of American country music singer and pianist Mickey Gilley, known for his string of hits and his influential honky-tonk nightclub in Pasadena, Texas.
-
A.
Gillooly
Gillooly is the family surname of acclaimed American actress Ellen Burstyn, reflecting her birth name before she adopted her stage surname.
-
B.
Gilliland
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Gilliatt
Gilliatt is the solitary, resourceful fisherman and central hero of Victor Hugo’s novel *Les Travailleurs de la mer*, known for his epic struggle against the sea.
-
D.
Gilby
Gilby is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
-
E.
Gillespie
Gillespie is a Scottish-origin surname most famously associated with American jazz trumpeter and composer Dizzy Gillespie.
- F. None of above. chosen
Provenance (5 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea6bf2558819082fc91fe8df6f3f5 |
completed | May 9, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea8018a088190b6eba72a7e6196b2 |
completed | May 9, 2026, 3:20 a.m. |
Created at: April 10, 2026, 3:02 a.m.