Triple
T4160863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frisch |
E91529
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Debra Frisch
Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
|
E639584
|
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: Debra Frisch | Statement: [Frisch, hasNotableBearer, Debra Frisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Frisch Context triple: [Frisch, hasNotableBearer, Debra Frisch]
-
A.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
B.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
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.
Nancy Schafer
Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
-
E.
Diane Wilk
Diane Wilk is a television writer and producer known for her work on American TV series and for her marriage to fellow writer-producer Brannon Braga.
- 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: Debra Frisch Triple: [Frisch, hasNotableBearer, Debra Frisch]
Generated description
Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debra Frisch Target entity description: Debra Frisch is an American former psychology professor and blogger best known for a high-profile online harassment case involving a political commentator.
-
A.
Debra Humphries
Debra Humphries is the mother of former NBA player Kris Humphries.
-
B.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
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.
Nancy Schafer
Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
-
E.
Diane Wilk
Diane Wilk is a television writer and producer known for her work on American TV series and for her marriage to fellow writer-producer Brannon Braga.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_69c79052fe1c819093347b6053fd67c8 |
completed | March 28, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7908572308190b651c358b0e88961 |
completed | March 28, 2026, 8:25 a.m. |
Created at: March 9, 2026, 3:44 p.m.