Triple
T7904620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Valiant |
E183540
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Valiant & Valiant
Valiant & Valiant is a private detective agency in the film "Who Framed Roger Rabbit," co-founded and run by Eddie Valiant and his brother.
|
E700621
|
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: Valiant & Valiant | Statement: [Eddie Valiant, employer, Valiant & Valiant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valiant & Valiant Context triple: [Eddie Valiant, employer, Valiant & Valiant]
-
A.
Valiant
Valiant is the surname of Leslie Valiant, a prominent computer scientist known for his foundational work in computational learning theory and complexity theory.
-
B.
Valiant
Valiant is the knight-themed mascot representing Manhattanville College’s athletic teams.
-
C.
The Valiant
The Valiant is a massive airborne aircraft carrier and command ship used by UNIT in the Doctor Who television series.
-
D.
The Valiant Years
The Valiant Years is a historical television documentary series that chronicles Winston Churchill’s leadership and key events of World War II.
-
E.
McCloud
McCloud is an American television crime drama series from the 1970s featuring a New Mexico lawman working with the New York City Police Department.
- 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: Valiant & Valiant Triple: [Eddie Valiant, employer, Valiant & Valiant]
Generated description
Valiant & Valiant is a private detective agency in the film "Who Framed Roger Rabbit," co-founded and run by Eddie Valiant and his brother.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valiant & Valiant Target entity description: Valiant & Valiant is a private detective agency in the film "Who Framed Roger Rabbit," co-founded and run by Eddie Valiant and his brother.
-
A.
Valiant
Valiant is the surname of Leslie Valiant, a prominent computer scientist known for his foundational work in computational learning theory and complexity theory.
-
B.
Valiant
Valiant is the knight-themed mascot representing Manhattanville College’s athletic teams.
-
C.
The Valiant
The Valiant is a massive airborne aircraft carrier and command ship used by UNIT in the Doctor Who television series.
-
D.
The Valiant Years
The Valiant Years is a historical television documentary series that chronicles Winston Churchill’s leadership and key events of World War II.
-
E.
McCloud
McCloud is an American television crime drama series from the 1970s featuring a New Mexico lawman working with the New York City Police Department.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:02 p.m.