Triple
T12091242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Rae Sapienza |
E287945
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
John Sapienza
John Sapienza is known primarily as the husband of prominent science fiction fan and convention organizer Peggy Rae Sapienza.
|
E1054742
|
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: John Sapienza | Statement: [Peggy Rae Sapienza, spouse, John Sapienza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Sapienza Context triple: [Peggy Rae Sapienza, spouse, John Sapienza]
-
A.
John Filippone
John Filippone was the husband of Maureen Reagan, the daughter of former U.S. President Ronald Reagan.
-
B.
Anthony Marinelli
Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
-
C.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
D.
John Riggi
John Riggi is an American television writer, producer, and director known for his work on acclaimed series such as 30 Rock and The Comeback.
-
E.
Joseph Alioto
Joseph Alioto was a prominent American lawyer and Democratic politician who served as mayor of San Francisco from 1968 to 1976.
- 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: John Sapienza Triple: [Peggy Rae Sapienza, spouse, John Sapienza]
Generated description
John Sapienza is known primarily as the husband of prominent science fiction fan and convention organizer Peggy Rae Sapienza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Sapienza Target entity description: John Sapienza is known primarily as the husband of prominent science fiction fan and convention organizer Peggy Rae Sapienza.
-
A.
John Filippone
John Filippone was the husband of Maureen Reagan, the daughter of former U.S. President Ronald Reagan.
-
B.
Anthony Marinelli
Anthony Marinelli is an American composer and musician best known for his film scores and extensive work in Hollywood soundtracks.
-
C.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
-
D.
John Riggi
John Riggi is an American television writer, producer, and director known for his work on acclaimed series such as 30 Rock and The Comeback.
-
E.
Joseph Alioto
Joseph Alioto was a prominent American lawyer and Democratic politician who served as mayor of San Francisco from 1968 to 1976.
- 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_69f7941721d08190900ca872503055db |
completed | May 3, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_69f796a4eac88190aa68765fd0e6dfe7 |
completed | May 3, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 8, 2026, 9:48 p.m.