Triple
T1052205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Wojcicki |
E22723
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dennis Troper
Dennis Troper is a Google executive best known as the husband of former YouTube CEO Susan Wojcicki.
|
E160282
|
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: Dennis Troper | Statement: [Susan Wojcicki, spouse, Dennis Troper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Troper Context triple: [Susan Wojcicki, spouse, Dennis Troper]
-
A.
Lloyd Levin
Lloyd Levin is an American film producer known for his work on major genre films such as "Hellboy II: The Golden Army," "Watchmen," and "United 93."
-
B.
Stanley Corrsin
Stanley Corrsin was a prominent American fluid dynamicist renowned for his pioneering contributions to the study of turbulence and mixing in fluid flows.
-
C.
Nicholas Sagan
Nicholas Sagan is the son of science communicator Ann Druyan and famed astronomer Carl Sagan.
-
D.
Lev Kerbel
Lev Kerbel was a prominent Soviet sculptor renowned for his monumental public works and statues of communist leaders.
-
E.
John David Stier
John David Stier is the son of Nobel Prize–winning mathematician John Nash and Eleanor Stier.
- 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: Dennis Troper Triple: [Susan Wojcicki, spouse, Dennis Troper]
Generated description
Dennis Troper is a Google executive best known as the husband of former YouTube CEO Susan Wojcicki.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dennis Troper Target entity description: Dennis Troper is a Google executive best known as the husband of former YouTube CEO Susan Wojcicki.
-
A.
Lloyd Levin
Lloyd Levin is an American film producer known for his work on major genre films such as "Hellboy II: The Golden Army," "Watchmen," and "United 93."
-
B.
Stanley Corrsin
Stanley Corrsin was a prominent American fluid dynamicist renowned for his pioneering contributions to the study of turbulence and mixing in fluid flows.
-
C.
Nicholas Sagan
Nicholas Sagan is the son of science communicator Ann Druyan and famed astronomer Carl Sagan.
-
D.
Lev Kerbel
Lev Kerbel was a prominent Soviet sculptor renowned for his monumental public works and statues of communist leaders.
-
E.
John David Stier
John David Stier is the son of Nobel Prize–winning mathematician John Nash and Eleanor Stier.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b5312081909796df58fa7c1e9d |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde0311d88190a3cd04c7e00253e2 |
completed | March 8, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_69acdfabfd3c8190960d8621b49284a8 |
completed | March 8, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace0ea9d1c8190a73ed43b0a7bbd2f |
completed | March 8, 2026, 2:37 a.m. |
Created at: March 1, 2026, 7:42 p.m.