Triple
T12091241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Rae Sapienza |
E287945
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bob Pavlat
Bob Pavlat was a prominent figure in science fiction fandom, known for his active involvement in fan organizations and conventions.
|
E964921
|
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: Bob Pavlat | Statement: [Peggy Rae Sapienza, spouse, Bob Pavlat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Pavlat Context triple: [Peggy Rae Sapienza, spouse, Bob Pavlat]
-
A.
Bob Cmelik
Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
-
B.
Jon Bosak
Jon Bosak is a computer scientist best known for leading the original XML specification effort at the World Wide Web Consortium (W3C), which helped standardize data interchange on the web.
-
C.
Tony Kubek
Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
-
D.
Pete Kozachik
Pete Kozachik is an American cinematographer best known for his work on stop-motion animated films, including the cult classic "The Nightmare Before Christmas."
-
E.
Steve Babick
Steve Babick is an American local politician who serves as the mayor of Carrollton, Texas.
- 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: Bob Pavlat Triple: [Peggy Rae Sapienza, spouse, Bob Pavlat]
Generated description
Bob Pavlat was a prominent figure in science fiction fandom, known for his active involvement in fan organizations and conventions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Pavlat Target entity description: Bob Pavlat was a prominent figure in science fiction fandom, known for his active involvement in fan organizations and conventions.
-
A.
Bob Cmelik
Bob Cmelik is a computer engineer best known as one of the founders of the innovative microprocessor company Transmeta.
-
B.
Jon Bosak
Jon Bosak is a computer scientist best known for leading the original XML specification effort at the World Wide Web Consortium (W3C), which helped standardize data interchange on the web.
-
C.
Tony Kubek
Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
-
D.
Pete Kozachik
Pete Kozachik is an American cinematographer best known for his work on stop-motion animated films, including the cult classic "The Nightmare Before Christmas."
-
E.
Steve Babick
Steve Babick is an American local politician who serves as the mayor of Carrollton, Texas.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9151797988190b0d007ea806bcf02 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66d1b44819091f638d2a621ecde |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.