Triple
T1114022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Sutton |
E11055
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
The Actor
The Actor was the nickname of Willie Sutton, a notorious American bank robber famed for his elaborate disguises and theatrical methods during heists.
|
E128152
|
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: The Actor | Statement: [Willie Sutton, nickname, The Actor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Actor Context triple: [Willie Sutton, nickname, The Actor]
-
A.
Broadway Joe
Broadway Joe is the flamboyant Hall of Fame NFL quarterback Joe Namath, famed for his bold Super Bowl III guarantee and larger-than-life New York celebrity persona.
-
B.
Mr. Director
Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
-
C.
Rake
Rake is a Ruby-based build automation tool similar to Make, used to define and run tasks via Ruby code.
-
D.
Stiller
Stiller is a 1954 novel by Swiss author Max Frisch that explores themes of identity, self-deception, and the impossibility of truly knowing oneself.
-
E.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
- 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: The Actor Triple: [Willie Sutton, nickname, The Actor]
Generated description
The Actor was the nickname of Willie Sutton, a notorious American bank robber famed for his elaborate disguises and theatrical methods during heists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Actor Target entity description: The Actor was the nickname of Willie Sutton, a notorious American bank robber famed for his elaborate disguises and theatrical methods during heists.
-
A.
Broadway Joe
Broadway Joe is the flamboyant Hall of Fame NFL quarterback Joe Namath, famed for his bold Super Bowl III guarantee and larger-than-life New York celebrity persona.
-
B.
Mr. Director
Mr. Director is the formal style of address used for the Cabinet-level head of the United States Office of Management and Budget.
-
C.
Rake
Rake is a Ruby-based build automation tool similar to Make, used to define and run tasks via Ruby code.
-
D.
Stiller
Stiller is a 1954 novel by Swiss author Max Frisch that explores themes of identity, self-deception, and the impossibility of truly knowing oneself.
-
E.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bba04324819090d2f8fcccc2a4c2 |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539783188190896ab66306697b1c |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac544fc41881908daff6b313622619 |
completed | March 7, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5526679081909c9f7458bd316ff6 |
completed | March 7, 2026, 4:41 p.m. |
Created at: March 1, 2026, 7:43 p.m.