Triple
T11426732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nehemiah Persoff |
E270769
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Thia Persoff
Thia Persoff is the wife of late character actor Nehemiah Persoff, known for their long marriage and family life together.
|
E924808
|
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: Thia Persoff | Statement: [Nehemiah Persoff, spouse, Thia Persoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thia Persoff Context triple: [Nehemiah Persoff, spouse, Thia Persoff]
-
A.
Laura Perens
Laura Perens is known as the spouse of open-source software advocate and Debian co-founder Bruce Perens.
-
B.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
-
C.
Debra Christofferson
Debra Christofferson is an American actress best known for her role as the bearded lady Lila in the HBO television series "Carnivàle."
-
D.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
E.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
- 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: Thia Persoff Triple: [Nehemiah Persoff, spouse, Thia Persoff]
Generated description
Thia Persoff is the wife of late character actor Nehemiah Persoff, known for their long marriage and family life together.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thia Persoff Target entity description: Thia Persoff is the wife of late character actor Nehemiah Persoff, known for their long marriage and family life together.
-
A.
Laura Perens
Laura Perens is known as the spouse of open-source software advocate and Debian co-founder Bruce Perens.
-
B.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
-
C.
Debra Christofferson
Debra Christofferson is an American actress best known for her role as the bearded lady Lila in the HBO television series "Carnivàle."
-
D.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
E.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c000b88190bfaa646b2dc424b7 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8c8e1988190aba5a2536dbb37cf |
completed | April 20, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69e5c28e2dd481909b45a43b5825f393 |
completed | April 20, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5c4722c348190a4c49edb1f6df240 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:35 p.m.