Triple
T21428099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Creator |
E528613
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jim Spencer
Jim Spencer is a film and television producer known for overseeing the development and production of various screen projects.
|
E1485220
|
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: Jim Spencer | Statement: [The Creator, producer, Jim Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Spencer Context triple: [The Creator, producer, Jim Spencer]
-
A.
Tim Spencer
Tim Spencer was an American singer, songwriter, and Western music pioneer best known as a founding member of the influential cowboy harmony group Sons of the Pioneers.
-
B.
Tim Spencer
Tim Spencer is a former American football running back best known for his standout play in the early 1980s, including in the USFL and later the NFL.
-
C.
Mike Spencer
Mike Spencer is a British music producer known for his work on hit records across pop and rock genres.
-
D.
Scott Spencer
Scott Spencer is an American novelist best known for his intense psychological and romantic dramas, particularly his acclaimed novel "Endless Love."
-
E.
Matt Spencer
Matt Spencer is a self-absorbed, image-conscious customer relations officer aboard the space cruise ship in the sci-fi comedy series "Avenue 5."
- 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: Jim Spencer Triple: [The Creator, producer, Jim Spencer]
Generated description
Jim Spencer is a film and television producer known for overseeing the development and production of various screen projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Spencer Target entity description: Jim Spencer is a film and television producer known for overseeing the development and production of various screen projects.
-
A.
Tim Spencer
Tim Spencer is a former American football running back best known for his standout play in the early 1980s, including in the USFL and later the NFL.
-
B.
Tim Spencer
Tim Spencer was an American singer, songwriter, and Western music pioneer best known as a founding member of the influential cowboy harmony group Sons of the Pioneers.
-
C.
Mike Spencer
Mike Spencer is a British music producer known for his work on hit records across pop and rock genres.
-
D.
Scott Spencer
Scott Spencer is an American novelist best known for his intense psychological and romantic dramas, particularly his acclaimed novel "Endless Love."
-
E.
Matt Spencer
Matt Spencer is a self-absorbed, image-conscious customer relations officer aboard the space cruise ship in the sci-fi comedy series "Avenue 5."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8f97f7481909d4b7fc1bc43f0f1 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c9a6b84881908f9193b89ded7361 |
completed | May 17, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09caa391588190808eb3dcaff07803 |
completed | May 17, 2026, 2:03 p.m. |
Created at: April 16, 2026, 5:49 p.m.