Triple
T20559004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passionada |
E504794
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jeffrey D. Ivers
Jeffrey D. Ivers is a film producer best known for his work on the romantic drama movie "Passionada."
|
E1439041
|
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: Jeffrey D. Ivers | Statement: [Passionada, producer, Jeffrey D. Ivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey D. Ivers Context triple: [Passionada, producer, Jeffrey D. Ivers]
-
A.
Benjamin N. Kaduk
Benjamin N. Kaduk is a computer networking expert and contributor to Internet standards, particularly within the IETF community.
-
B.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
C.
Kevin A. Ross
Kevin A. Ross is an American television personality and former judge best known for presiding over the syndicated courtroom show "America’s Court with Judge Ross."
-
D.
Nathan D. Baxter
Nathan D. Baxter is an American Episcopal clergyman and former dean of Washington National Cathedral who later served as the Bishop of the Episcopal Diocese of Central Pennsylvania.
-
E.
David J. Wetherall
David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
- 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: Jeffrey D. Ivers Triple: [Passionada, producer, Jeffrey D. Ivers]
Generated description
Jeffrey D. Ivers is a film producer best known for his work on the romantic drama movie "Passionada."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey D. Ivers Target entity description: Jeffrey D. Ivers is a film producer best known for his work on the romantic drama movie "Passionada."
-
A.
Benjamin N. Kaduk
Benjamin N. Kaduk is a computer networking expert and contributor to Internet standards, particularly within the IETF community.
-
B.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
C.
Kevin A. Ross
Kevin A. Ross is an American television personality and former judge best known for presiding over the syndicated courtroom show "America’s Court with Judge Ross."
-
D.
Nathan D. Baxter
Nathan D. Baxter is an American Episcopal clergyman and former dean of Washington National Cathedral who later served as the Bishop of the Episcopal Diocese of Central Pennsylvania.
-
E.
David J. Wetherall
David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5e178648190910795bae5422e50 |
completed | April 20, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acd907088190b1c261267381c3b8 |
completed | May 16, 2026, 5:43 p.m. |
| NEDg | Description generation | batch_6a08ae5320d08190b8ce6fbe4909af18 |
completed | May 16, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08aed4a9908190bf7bd5f0147ff6f2 |
completed | May 16, 2026, 5:52 p.m. |
Created at: April 16, 2026, 11:38 a.m.