Triple
T13695107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blunt Talk |
E328363
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Tricia McAlpin
Tricia McAlpin is a television producer and writer known for her work as an executive producer on the comedy series "Blunt Talk."
|
E1152668
|
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: Tricia McAlpin | Statement: [Blunt Talk, executiveProducer, Tricia McAlpin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tricia McAlpin Context triple: [Blunt Talk, executiveProducer, Tricia McAlpin]
-
A.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
-
B.
Tricia O'Kelley
Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
-
C.
Tricia Miller
Tricia Miller is a troubled but endearing young inmate in the television series "Orange Is the New Black," known for her close bond with fellow prisoner Poussey Washington.
-
D.
Tricia Sullivan
Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
-
E.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
- 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: Tricia McAlpin Triple: [Blunt Talk, executiveProducer, Tricia McAlpin]
Generated description
Tricia McAlpin is a television producer and writer known for her work as an executive producer on the comedy series "Blunt Talk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tricia McAlpin Target entity description: Tricia McAlpin is a television producer and writer known for her work as an executive producer on the comedy series "Blunt Talk."
-
A.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
-
B.
Tricia O'Kelley
Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
-
C.
Tricia Miller
Tricia Miller is a troubled but endearing young inmate in the television series "Orange Is the New Black," known for her close bond with fellow prisoner Poussey Washington.
-
D.
Tricia Sullivan
Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
-
E.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b2e59e88190b58fdf9d9643aef9 |
completed | May 9, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69ff0bb903f881909619cece7def68e4 |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c81636c81909536e69b48c5c400 |
completed | May 9, 2026, 10:29 a.m. |
Created at: April 9, 2026, 9:54 p.m.