Triple
T3086375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Gekko |
E64381
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object |
Carl Fox
Carl Fox is a principled, blue-collar union leader and the morally grounded father of Bud Fox in the film "Wall Street."
|
E326171
|
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: Carl Fox | Statement: [Gordon Gekko, enemyOf, Carl Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Fox Context triple: [Gordon Gekko, enemyOf, Carl Fox]
-
A.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
B.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
C.
Joe Fox
Joe Fox is the charming, business-savvy bookstore chain owner played by Tom Hanks in the romantic comedy film "You've Got Mail."
-
D.
Luke Foxe
Luke Foxe was a 17th-century English explorer and navigator known for his Arctic voyages in search of the Northwest Passage.
-
E.
Oscar Furlong
Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
- 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: Carl Fox Triple: [Gordon Gekko, enemyOf, Carl Fox]
Generated description
Carl Fox is a principled, blue-collar union leader and the morally grounded father of Bud Fox in the film "Wall Street."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Fox Target entity description: Carl Fox is a principled, blue-collar union leader and the morally grounded father of Bud Fox in the film "Wall Street."
-
A.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
B.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
C.
Joe Fox
Joe Fox is the charming, business-savvy bookstore chain owner played by Tom Hanks in the romantic comedy film "You've Got Mail."
-
D.
Luke Foxe
Luke Foxe was a 17th-century English explorer and navigator known for his Arctic voyages in search of the Northwest Passage.
-
E.
Oscar Furlong
Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
- 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_69b203607df081909499458d6608f0e6 |
completed | March 12, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69b203e9939881909e5b637cad43eb17 |
completed | March 12, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b204516ac8819094f29f6c68d61465 |
completed | March 12, 2026, 12:09 a.m. |
Created at: March 8, 2026, 3:03 p.m.