Triple
T14847612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Niven Jr. |
E349138
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Kristina Niven
Kristina Niven is a member of the Niven family, known primarily as a relative of film producer David Niven Jr. and part of the extended legacy of actor David Niven.
|
E1124522
|
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: Kristina Niven | Statement: [David Niven Jr., hasRelative, Kristina Niven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristina Niven Context triple: [David Niven Jr., hasRelative, Kristina Niven]
-
A.
Kristin Yancey
Kristin Yancey is a fictional character from the American television sitcom "Kristin."
-
B.
Beth Winters
Beth Winters is a fictional character from the 2012 ensemble drama-comedy film "Darling Companion."
-
C.
Jocelyn Harris
Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
-
D.
Rachel Lapp
Rachel Lapp is a young Amish widow and mother who becomes entangled with a big-city detective in the 1985 crime thriller film "Witness."
-
E.
Sarah Kidd
Sarah Kidd was the wife of the infamous Scottish privateer-turned-pirate Captain William Kidd, known primarily through her association with his life and legacy.
- 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: Kristina Niven Triple: [David Niven Jr., hasRelative, Kristina Niven]
Generated description
Kristina Niven is a member of the Niven family, known primarily as a relative of film producer David Niven Jr. and part of the extended legacy of actor David Niven.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristina Niven Target entity description: Kristina Niven is a member of the Niven family, known primarily as a relative of film producer David Niven Jr. and part of the extended legacy of actor David Niven.
-
A.
Kristin Yancey
Kristin Yancey is a fictional character from the American television sitcom "Kristin."
-
B.
Beth Winters
Beth Winters is a fictional character from the 2012 ensemble drama-comedy film "Darling Companion."
-
C.
Jocelyn Harris
Jocelyn Harris is a fictional character portrayed by actress Alona Tal, best known from her role in the television series "Veronica Mars."
-
D.
Rachel Lapp
Rachel Lapp is a young Amish widow and mother who becomes entangled with a big-city detective in the 1985 crime thriller film "Witness."
-
E.
Sarah Kidd
Sarah Kidd was the wife of the infamous Scottish privateer-turned-pirate Captain William Kidd, known primarily through her association with his life and legacy.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6502d3f081909ff6fa8722769e2e |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe662fa374819083367ba7f9da2272 |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe67664044819084196e3e6e365415 |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:53 a.m.