Triple
T2468884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wall |
E55320
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Robert Wall
Robert Wall is a British actor and martial artist best known for appearing in several Bruce Lee films, including "Enter the Dragon" and "Way of the Dragon."
|
E270133
|
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: Robert Wall | Statement: [Wall, hasNotableBearer, Robert Wall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Wall Context triple: [Wall, hasNotableBearer, Robert Wall]
-
A.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
B.
Bret M. Waller
Bret M. Waller is a film editor known for his work on the feature film "Welcome to Marwen."
-
C.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
D.
Mark Walter
Mark Walter is an American businessman and investor best known as the controlling owner of the Los Angeles Dodgers and co-founder of the investment firm Guggenheim Partners.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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: Robert Wall Triple: [Wall, hasNotableBearer, Robert Wall]
Generated description
Robert Wall is a British actor and martial artist best known for appearing in several Bruce Lee films, including "Enter the Dragon" and "Way of the Dragon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Wall Target entity description: Robert Wall is a British actor and martial artist best known for appearing in several Bruce Lee films, including "Enter the Dragon" and "Way of the Dragon."
-
A.
Craig Weller
Craig Weller is an American entrepreneur best known as one of the co-founders of the natural and organic grocery chain Whole Foods Market.
-
B.
Bret M. Waller
Bret M. Waller is a film editor known for his work on the feature film "Welcome to Marwen."
-
C.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
D.
Mark Walter
Mark Walter is an American businessman and investor best known as the controlling owner of the Los Angeles Dodgers and co-founder of the investment firm Guggenheim Partners.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd134684c8190bc62c0af22d75538 |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179f90e881909c09edb961b13a75 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af195ec8788190ae2f94f7cd86e605 |
completed | March 9, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1a28591c8190ab4f3dca260766f5 |
completed | March 9, 2026, 7:06 p.m. |
Created at: March 6, 2026, 9:44 p.m.