Triple
T7373075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Hudson |
E170055
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Wes Gardner
Wes Gardner is a fictional character from the television series "Scream Queens," portrayed by actor Oliver Hudson.
|
E666059
|
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: Wes Gardner | Statement: [Oliver Hudson, playedCharacter, Wes Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Gardner Context triple: [Oliver Hudson, playedCharacter, Wes Gardner]
-
A.
Trevor Gardner
Trevor Gardner was a prominent U.S. defense official and aerospace executive known for his influential role in advancing American missile and space programs during the Cold War.
-
B.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
C.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
- 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: Wes Gardner Triple: [Oliver Hudson, playedCharacter, Wes Gardner]
Generated description
Wes Gardner is a fictional character from the television series "Scream Queens," portrayed by actor Oliver Hudson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wes Gardner Target entity description: Wes Gardner is a fictional character from the television series "Scream Queens," portrayed by actor Oliver Hudson.
-
A.
Trevor Gardner
Trevor Gardner was a prominent U.S. defense official and aerospace executive known for his influential role in advancing American missile and space programs during the Cold War.
-
B.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
C.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83437dd28819088c17cfd7dea2e5b |
completed | March 28, 2026, 8:04 p.m. |
| NEDg | Description generation | batch_69c834df98908190a13df51182751a75 |
completed | March 28, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83597d0f0819091a095e8376fd644 |
completed | March 28, 2026, 8:10 p.m. |
Created at: March 27, 2026, 3:07 p.m.