Triple
T15359560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mika Miko |
E367253
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Kate Hall
Kate Hall is an American musician best known as a member of the Los Angeles-based punk band Mika Miko.
|
E1164795
|
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: Kate Hall | Statement: [Mika Miko, member, Kate Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Hall Context triple: [Mika Miko, member, Kate Hall]
-
A.
Kate Harrington
Kate Harrington is known as the former spouse of American film director John McTiernan, who is famous for action films such as "Die Hard" and "Predator."
-
B.
Jewel Staite
Jewel Staite is a Canadian actress best known for her role as Kaylee Frye in the TV series "Firefly" and its film continuation "Serenity."
-
C.
Daniela Denby-Ashe
Daniela Denby-Ashe is a British actress best known for her roles in television series such as "My Family," "EastEnders," and the period drama "North & South."
-
D.
Laura Hunt
Laura Hunt is the enigmatic advertising executive at the center of the classic 1944 film noir "Laura," whose apparent murder and idealized image drive the film’s mystery and romantic obsession.
-
E.
Kathryn Price
Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
- 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: Kate Hall Triple: [Mika Miko, member, Kate Hall]
Generated description
Kate Hall is an American musician best known as a member of the Los Angeles-based punk band Mika Miko.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Hall Target entity description: Kate Hall is an American musician best known as a member of the Los Angeles-based punk band Mika Miko.
-
A.
Kate Harrington
Kate Harrington is known as the former spouse of American film director John McTiernan, who is famous for action films such as "Die Hard" and "Predator."
-
B.
Jewel Staite
Jewel Staite is a Canadian actress best known for her role as Kaylee Frye in the TV series "Firefly" and its film continuation "Serenity."
-
C.
Daniela Denby-Ashe
Daniela Denby-Ashe is a British actress best known for her roles in television series such as "My Family," "EastEnders," and the period drama "North & South."
-
D.
Laura Hunt
Laura Hunt is the enigmatic advertising executive at the center of the classic 1944 film noir "Laura," whose apparent murder and idealized image drive the film’s mystery and romantic obsession.
-
E.
Kathryn Price
Kathryn Price is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2efb148190a2e6c0811f2afb5f |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d4dd8108190aa3271a9feaea5ca |
completed | May 9, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4e29e8a48190bf7728cf2d099a7e |
completed | May 9, 2026, 3:09 p.m. |
Created at: April 10, 2026, 3:18 a.m.