Triple
T17666610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pervis Ellison |
E440399
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Pervis
Pervis is a masculine given name most notably borne by former American professional basketball player Pervis Ellison.
|
E1280915
|
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: Pervis | Statement: [Pervis Ellison, givenName, Pervis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pervis Context triple: [Pervis Ellison, givenName, Pervis]
-
A.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
D.
Peniston
Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
-
E.
Verdell
Verdell is the small Brussels Griffon dog from the film "As Good as It Gets," known for softening the misanthropic character Melvin Udall.
- 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: Pervis Triple: [Pervis Ellison, givenName, Pervis]
Generated description
Pervis is a masculine given name most notably borne by former American professional basketball player Pervis Ellison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pervis Target entity description: Pervis is a masculine given name most notably borne by former American professional basketball player Pervis Ellison.
-
A.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
D.
Peniston
Peniston is a masculine given name of English origin, historically borne by several members of the British aristocracy.
-
E.
Verdell
Verdell is the small Brussels Griffon dog from the film "As Good as It Gets," known for softening the misanthropic character Melvin Udall.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea9d91c81908414ef38c7fb36a4 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02165e842c8190bb28bd8a4b1438ad |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a021838dae081908bdd74733bb272ee |
completed | May 11, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218ba7f14819097e07caccdf8ff83 |
completed | May 11, 2026, 5:58 p.m. |
Created at: April 10, 2026, 9:57 a.m.