Triple
T13920038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Taylor |
E334717
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Neveldine/Taylor
Neveldine/Taylor is a filmmaking duo known for their hyper-kinetic, visually frenetic style in action and genre films such as the "Crank" series.
|
E1069619
|
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: Neveldine/Taylor | Statement: [Brian Taylor, memberOf, Neveldine/Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neveldine/Taylor Context triple: [Brian Taylor, memberOf, Neveldine/Taylor]
-
A.
Taylour
Taylour is a feminine given name most notably borne by American actress and dancer Taylour Paige.
-
B.
Taylor & Taylor
Taylor & Taylor was a historical British publishing firm known for producing scientific and philosophical periodicals in the 19th century.
-
C.
Mi Taylor
Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
-
D.
Taylors
Taylors is a suburban community in South Carolina, United States, located near the city of Greenville.
-
E.
Tiffany Valentine
Tiffany Valentine is a prominent horror film character known as the murderous doll bride and partner of Chucky in the Child’s Play/Chucky franchise.
- 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: Neveldine/Taylor Triple: [Brian Taylor, memberOf, Neveldine/Taylor]
Generated description
Neveldine/Taylor is a filmmaking duo known for their hyper-kinetic, visually frenetic style in action and genre films such as the "Crank" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neveldine/Taylor Target entity description: Neveldine/Taylor is a filmmaking duo known for their hyper-kinetic, visually frenetic style in action and genre films such as the "Crank" series.
-
A.
Taylour
Taylour is a feminine given name most notably borne by American actress and dancer Taylour Paige.
-
B.
Taylor & Taylor
Taylor & Taylor was a historical British publishing firm known for producing scientific and philosophical periodicals in the 19th century.
-
C.
Mi Taylor
Mi Taylor is a key character in the novel and film "National Velvet," known as the resourceful former jockey who helps Velvet Brown train and race her horse.
-
D.
Taylors
Taylors is a suburban community in South Carolina, United States, located near the city of Greenville.
-
E.
Tiffany Valentine
Tiffany Valentine is a prominent horror film character known as the murderous doll bride and partner of Chucky in the Child’s Play/Chucky franchise.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa428ac819084e7c4b244d15f20 |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7c4a788190a1e7619a00ab0c2e |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:16 p.m.