Triple
T9030840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Binder |
E216166
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Binder
Binder is a surname of German origin borne by numerous individuals, including the physicist Kurt Binder.
|
E772536
|
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: Binder | Statement: [Kurt Binder, familyName, Binder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binder Context triple: [Kurt Binder, familyName, Binder]
-
A.
Bound
Bound is a 1996 neo-noir crime thriller film known for its stylish direction, lesbian romance, and intricate heist plot, directed by the Wachowskis and starring Gina Gershon and Jennifer Tilly.
-
B.
binding
Binding is a central concept in generative syntax that explains how pronouns and other noun phrases can or cannot refer to each other within sentence structure.
-
C.
Bookends
"Bookends" is a 1968 studio album by American folk-rock duo Simon & Garfunkel, noted for its introspective themes and innovative, concept-album structure.
-
D.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
E.
Calibre
Calibre is a 2018 British thriller film about a hunting trip in the Scottish Highlands that goes disastrously wrong, starring Jack Lowden.
- 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: Binder Triple: [Kurt Binder, familyName, Binder]
Generated description
Binder is a surname of German origin borne by numerous individuals, including the physicist Kurt Binder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binder Target entity description: Binder is a surname of German origin borne by numerous individuals, including the physicist Kurt Binder.
-
A.
Bound
Bound is a 1996 neo-noir crime thriller film known for its stylish direction, lesbian romance, and intricate heist plot, directed by the Wachowskis and starring Gina Gershon and Jennifer Tilly.
-
B.
binding
Binding is a central concept in generative syntax that explains how pronouns and other noun phrases can or cannot refer to each other within sentence structure.
-
C.
Bookends
"Bookends" is a 1968 studio album by American folk-rock duo Simon & Garfunkel, noted for its introspective themes and innovative, concept-album structure.
-
D.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
E.
Calibre
Calibre is an electronic design automation tool suite from Mentor Graphics widely used for physical verification and design rule checking in semiconductor chip design.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a9e0aa881908886f453c51ecd0e |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc662208190a3f4e6e593208c5c |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdceaa44c81909384939d651b9a61 |
completed | April 3, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd75761c8190b17f97184ae07810 |
completed | April 3, 2026, 3:32 p.m. |
Created at: March 30, 2026, 7:08 p.m.