Triple
T550865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Dusk Till Dawn |
E11835
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Seth Gecko
Seth Gecko is a ruthless yet charismatic criminal antihero best known as one of the Gecko brothers in the horror-crime franchise "From Dusk Till Dawn."
|
E70058
|
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: Seth Gecko | Statement: [From Dusk Till Dawn, mainCharacter, Seth Gecko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Gecko Context triple: [From Dusk Till Dawn, mainCharacter, Seth Gecko]
-
A.
Seth
Seth is a biblical figure regarded as the third son of Adam and Eve and an ancestor of Noah in the Hebrew Bible.
-
B.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
C.
Gus
Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
-
D.
Tabio
Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
-
E.
Sylvester
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
- 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: Seth Gecko Triple: [From Dusk Till Dawn, mainCharacter, Seth Gecko]
Generated description
Seth Gecko is a ruthless yet charismatic criminal antihero best known as one of the Gecko brothers in the horror-crime franchise "From Dusk Till Dawn."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seth Gecko Target entity description: Seth Gecko is a ruthless yet charismatic criminal antihero best known as one of the Gecko brothers in the horror-crime franchise "From Dusk Till Dawn."
-
A.
Seth
Seth is a biblical figure regarded as the third son of Adam and Eve and an ancestor of Noah in the Hebrew Bible.
-
B.
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
C.
Gus
Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
-
D.
Tabio
Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
-
E.
Sylvester
Sylvester is a classic Looney Tunes cartoon cat best known for his lisping voice and comical attempts to catch Tweety Bird.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e9b92f1c8190bdcf5ae3a07edb3a |
completed | March 2, 2026, 1:36 a.m. |
| NEDg | Description generation | batch_69a4ea5488948190aab4d3ef1696844f |
completed | March 2, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4eaa40a608190b567fb808b0a7dd1 |
completed | March 2, 2026, 1:40 a.m. |
Created at: March 1, 2026, 7:32 p.m.