Triple
T621889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Murray |
E14530
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jennifer Butler
Jennifer Butler was an American costume designer best known for her long-term relationship and marriage to actor Bill Murray.
|
E83907
|
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: Jennifer Butler | Statement: [Bill Murray, spouse, Jennifer Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Butler Context triple: [Bill Murray, spouse, Jennifer Butler]
-
A.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
B.
Lauren Daniels
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
C.
Jody Allen
Jody Allen is an American businesswoman and philanthropist, co-founder of Vulcan Inc. and sister of the late Microsoft co-founder Paul Allen.
-
D.
Martha Tedeschi
Martha Tedeschi is an American art historian and museum leader known for her scholarship on works on paper and for heading major art institutions.
-
E.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
- 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: Jennifer Butler Triple: [Bill Murray, spouse, Jennifer Butler]
Generated description
Jennifer Butler was an American costume designer best known for her long-term relationship and marriage to actor Bill Murray.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Butler Target entity description: Jennifer Butler was an American costume designer best known for her long-term relationship and marriage to actor Bill Murray.
-
A.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
B.
Lauren Daniels
Lauren Daniels is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
C.
Jody Allen
Jody Allen is an American businesswoman and philanthropist, co-founder of Vulcan Inc. and sister of the late Microsoft co-founder Paul Allen.
-
D.
Martha Tedeschi
Martha Tedeschi is an American art historian and museum leader known for her scholarship on works on paper and for heading major art institutions.
-
E.
Elissa Leonard
Elissa Leonard is an American filmmaker and producer known for her work in documentary and independent film, as well as for being married to Federal Reserve Chair Jerome H. Powell.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e402d9c8190936896e3ebb6edc5 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc91ff30819095a00852c3e2dfae |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5de26ff1081908a60b55a1deab804 |
completed | March 2, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff1ac6f481909915fd5b2e648558 |
completed | March 2, 2026, 9:20 p.m. |
Created at: March 1, 2026, 7:35 p.m.