Triple
T18238245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irwin Unger |
E436736
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Debi Unger
Debi Unger is a writer and historian known for co-authoring several works of American history, often in collaboration with her husband, historian Irwin Unger.
|
E1395904
|
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: Debi Unger | Statement: [Irwin Unger, spouse, Debi Unger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debi Unger Context triple: [Irwin Unger, spouse, Debi Unger]
-
A.
Debra Weinfeld
Debra Weinfeld is a film editor known for her work on the action drama movie "Never Back Down."
-
B.
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.
-
C.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
D.
Sherri Kramer
Sherri Kramer is an American screenwriter and the former wife of late comedian and actor Bob Saget.
-
E.
Marcia Vogel
Marcia Vogel is known as the wife of influential film programmer and Cinema 16 co-founder Amos Vogel.
- 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: Debi Unger Triple: [Irwin Unger, spouse, Debi Unger]
Generated description
Debi Unger is a writer and historian known for co-authoring several works of American history, often in collaboration with her husband, historian Irwin Unger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debi Unger Target entity description: Debi Unger is a writer and historian known for co-authoring several works of American history, often in collaboration with her husband, historian Irwin Unger.
-
A.
Debra Weinfeld
Debra Weinfeld is a film editor known for her work on the action drama movie "Never Back Down."
-
B.
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.
-
C.
Diane Siegler
Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
-
D.
Sherri Kramer
Sherri Kramer is an American screenwriter and the former wife of late comedian and actor Bob Saget.
-
E.
Marcia Vogel
Marcia Vogel is known as the wife of influential film programmer and Cinema 16 co-founder Amos Vogel.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e0a0ac819090d48ae45b1ebfc9 |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4dd20d88190bc3dc16062764414 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c5aea8948190b6e5bbcea8053478 |
completed | May 16, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c6846fb481908e1d5aae2c53a7ba |
completed | May 16, 2026, 1:21 a.m. |
Created at: April 10, 2026, 10:33 a.m.