Triple
T16848202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bear |
E409599
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Christopher Storer
Christopher Storer is an American writer, director, and producer best known for creating the acclaimed television series "The Bear."
|
E1246579
|
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: Christopher Storer | Statement: [The Bear, creator, Christopher Storer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Storer Context triple: [The Bear, creator, Christopher Storer]
-
A.
Nicholas Stokes
Nicholas Stokes is a fictional crime scene investigator from the television series "CSI: Crime Scene Investigation," known for his dedication, empathy, and hands-on forensic work.
-
B.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
C.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
D.
Alan Stevenson
Alan Stevenson was a prominent 19th-century Scottish civil engineer and lighthouse designer, known for constructing many of Scotland’s most important lighthouses.
-
E.
Christopher Harter
Christopher Harter is known primarily as the husband of British actor Jeremy Kemp.
- 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: Christopher Storer Triple: [The Bear, creator, Christopher Storer]
Generated description
Christopher Storer is an American writer, director, and producer best known for creating the acclaimed television series "The Bear."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Storer Target entity description: Christopher Storer is an American writer, director, and producer best known for creating the acclaimed television series "The Bear."
-
A.
Nicholas Stokes
Nicholas Stokes is a fictional crime scene investigator from the television series "CSI: Crime Scene Investigation," known for his dedication, empathy, and hands-on forensic work.
-
B.
Jonathan Stokes
Jonathan Stokes was an 18th-century English physician and botanist associated with the influential Lunar Society of Birmingham.
-
C.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
D.
Alan Stevenson
Alan Stevenson was a prominent 19th-century Scottish civil engineer and lighthouse designer, known for constructing many of Scotland’s most important lighthouses.
-
E.
Christopher Harter
Christopher Harter is known primarily as the husband of British actor Jeremy Kemp.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b3802f08190acd5be6e2ccef2d7 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011bf2d25c8190b512de2928550283 |
completed | May 10, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c63308481908b32716eb913b9bd |
completed | May 11, 2026, 12:01 a.m. |
Created at: April 10, 2026, 5:24 a.m.