Triple
T12030551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dash Mihok |
E286393
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dash
Dash is the given name of American actor Dash Mihok, known for his roles in film and television such as the series "Ray Donovan."
|
E960988
|
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: Dash | Statement: [Dash Mihok, givenName, Dash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dash Context triple: [Dash Mihok, givenName, Dash]
-
A.
Dash
Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
-
B.
Dash
Dash was a boutique clothing and accessories retail chain founded and operated by the Kardashian sisters, known for selling trendy, celebrity-inspired fashion.
-
C.
Dash
Dash is the nickname of the Winston-Salem Dash, a Minor League Baseball team based in Winston-Salem, North Carolina.
-
D.
Dash
Dash is the hyperactive, super-speed-gifted middle child from Pixar's "The Incredibles" franchise.
-
E.
Dash
Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
- 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: Dash Triple: [Dash Mihok, givenName, Dash]
Generated description
Dash is the given name of American actor Dash Mihok, known for his roles in film and television such as the series "Ray Donovan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dash Target entity description: Dash is the given name of American actor Dash Mihok, known for his roles in film and television such as the series "Ray Donovan."
-
A.
Dash
Dash is the stage name used by American rapper and songwriter Roscoe Dash, known for his melodic hooks and contributions to early 2010s hip hop hits.
-
B.
Dash
Dash is the hyperactive, super-speed-gifted middle child from Pixar's "The Incredibles" franchise.
-
C.
Dash
Dash is the nickname of the Winston-Salem Dash, a Minor League Baseball team based in Winston-Salem, North Carolina.
-
D.
Dash
Dash was a boutique clothing and accessories retail chain founded and operated by the Kardashian sisters, known for selling trendy, celebrity-inspired fashion.
-
E.
Dash
Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d4f4c80819082ffc0c5aa3505a0 |
completed | May 1, 2026, 12:32 p.m. |
| NEDg | Description generation | batch_69f53d930714819080f92d223d930389 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.