Triple
T16721875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brothers |
E406366
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Jennifer Kingsley
Jennifer Kingsley is a fictional character featured in the work "The Brothers."
|
E1266194
|
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: Jennifer Kingsley | Statement: [The Brothers, hasCharacter, Jennifer Kingsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Kingsley Context triple: [The Brothers, hasCharacter, Jennifer Kingsley]
-
A.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
B.
Jean Kent
Jean Kent was a British film and television actress best known for her work in 1940s and 1950s cinema, particularly in melodramas and crime dramas.
-
C.
Katherine Russell
Katherine Russell is an American woman best known as the widow of Boston Marathon bomber Tamerlan Tsarnaev, who came under public scrutiny following the 2013 attack.
-
D.
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
E.
Katherine Bailess
Katherine Bailess is an American actress and dancer best known for her role as Kyle Hart on the VH1 drama series "Hit the Floor."
- 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: Jennifer Kingsley Triple: [The Brothers, hasCharacter, Jennifer Kingsley]
Generated description
Jennifer Kingsley is a fictional character featured in the work "The Brothers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Kingsley Target entity description: Jennifer Kingsley is a fictional character featured in the work "The Brothers."
-
A.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
-
B.
Jean Kent
Jean Kent was a British film and television actress best known for her work in 1940s and 1950s cinema, particularly in melodramas and crime dramas.
-
C.
Katherine Russell
Katherine Russell is an American woman best known as the widow of Boston Marathon bomber Tamerlan Tsarnaev, who came under public scrutiny following the 2013 attack.
-
D.
Jennifer Winkley
Jennifer Winkley is known as the former spouse of acclaimed American novelist Cormac McCarthy.
-
E.
Katherine Bailess
Katherine Bailess is an American actress and dancer best known for her role as Kyle Hart on the VH1 drama series "Hit the Floor."
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38743750c81908a980372ad8f1a6a |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fd9a38c819086d201631a0bd98c |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a089ac0081908a746c0c25cc12be |
completed | May 11, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1c415dc8190ba8f7e2a8053917f |
completed | May 11, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:20 a.m.