Triple
T3086417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wall Street: Money Never Sleeps |
E64382
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Winnie Gekko |
E324791
|
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: Winnie Gekko | Statement: [Wall Street: Money Never Sleeps, mainCharacter, Winnie Gekko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winnie Gekko Context triple: [Wall Street: Money Never Sleeps, mainCharacter, Winnie Gekko]
-
A.
Winnie Gekko
chosen
Winnie Gekko is the daughter of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
-
B.
Gob Bluth
Gob Bluth is a vain, inept magician and the frequently self-sabotaging eldest son of the Bluth family in the television sitcom "Arrested Development."
-
C.
Gordon Gekko
Gordon Gekko is a fictional, ruthlessly ambitious corporate raider and symbol of 1980s Wall Street greed from the film "Wall Street."
-
D.
Ferris Webster
Ferris Webster was an American film editor known for his work on major Hollywood productions, including the Clint Eastwood prison drama "Escape from Alcatraz."
-
E.
Harry Dreyfuss
Harry Dreyfuss is an American writer and actor known for his essays, political commentary, and for speaking publicly about his experiences with harassment in the entertainment industry.
- 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_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. |
Created at: March 8, 2026, 3:03 p.m.