Triple
T3086379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Gekko |
E64381
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object |
Rudy Gekko
Rudy Gekko is the son of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
|
E324792
|
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: Rudy Gekko | Statement: [Gordon Gekko, parentOf, Rudy Gekko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Gekko Context triple: [Gordon Gekko, parentOf, Rudy Gekko]
-
A.
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."
-
B.
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."
-
C.
Gruer
Gruer is a character in Isaac Asimov's science fiction novel "The Naked Sun," involved in the investigation central to the story's plot.
-
D.
Gus
Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
-
E.
Gus
Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
- 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: Rudy Gekko Triple: [Gordon Gekko, parentOf, Rudy Gekko]
Generated description
Rudy Gekko is the son of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rudy Gekko Target entity description: Rudy Gekko is the son of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
-
A.
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."
-
B.
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."
-
C.
Gruer
Gruer is a character in Isaac Asimov's science fiction novel "The Naked Sun," involved in the investigation central to the story's plot.
-
D.
Gus
Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
-
E.
Gus
Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1ec187c819084565514ebb99cdb |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89e6f5c8190993794e2c9977ee6 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f93d5b208190835093f453fd33ab |
completed | March 11, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9ea9b908190a86e2b79a89e0283 |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.