Triple
T30604744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Perry's House of Payne |
E779009
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
LaVan Davis
LaVan Davis is an American actor and comedian best known for playing the patriarch Curtis Payne on Tyler Perry’s television sitcoms, particularly "Tyler Perry's House of Payne."
|
E1920663
|
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: LaVan Davis | Statement: [Tyler Perry's House of Payne, starredActor, LaVan Davis]
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: LaVan Davis Triple: [Tyler Perry's House of Payne, starredActor, LaVan Davis]
Generated description
LaVan Davis is an American actor and comedian best known for playing the patriarch Curtis Payne on Tyler Perry’s television sitcoms, particularly "Tyler Perry's House of Payne."
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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689b5450c8190bb5152b6e3dd6536 |
completed | May 2, 2026, 11:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28571ec4c88190b6ad7c5e12ba283e |
completed | June 9, 2026, 6:10 p.m. |
| NEDg | Description generation | batch_6a2857cafff48190b89251d97dd531f4 |
completed | June 9, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28588218848190b284d41d25070731 |
completed | June 9, 2026, 6:16 p.m. |
Created at: April 29, 2026, 8:25 p.m.