Triple
T14173283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richie Gecko |
E351265
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Seth Gecko |
E70058
|
NE FINISHED |
How this triple was built (2 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: [Richie Gecko, relative, Seth Gecko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Gecko Context triple: [Richie Gecko, relative, Seth Gecko]
-
A.
Seth Gecko
chosen
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."
-
B.
Richie Gecko
Richie Gecko is a violent, psychopathic criminal and one half of the infamous Gecko brothers in the horror-crime franchise "From Dusk Till Dawn."
-
C.
Rudy Gekko
Rudy Gekko is the son of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
-
D.
Seth
Seth is a loud, insecure, and foul-mouthed high school senior in the comedy film "Superbad," known for his desperate attempts to gain social and sexual experience before graduation.
-
E.
Seth
Seth is a fictional pet character who serves as the central figure in the story.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193f85e88190b37a37747ec9d019 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.