Triple
T16848112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huff |
E409596
|
entity |
| Predicate | leadCharacterName |
P12814
|
FINISHED |
| Object |
Craig Huffstodt
Craig Huffstodt is the troubled psychiatrist protagonist of the television drama series "Huff," portrayed by actor Hank Azaria.
|
E1297264
|
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: Craig Huffstodt | Statement: [Huff, leadCharacterName, Craig Huffstodt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Huffstodt Context triple: [Huff, leadCharacterName, Craig Huffstodt]
-
A.
Max Stottlemeyer
Max Stottlemeyer is the son of San Francisco Police Captain Leland Stottlemeyer from the television series "Monk."
-
B.
John Hufnagel
John Hufnagel is a prominent Canadian Football League coach and executive best known for leading the Calgary Stampeders to multiple Grey Cup championships.
-
C.
Don Ettlinger
Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
-
D.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
E.
George Stelzner
George Stelzner is a television producer best known for serving as an executive producer on the biographical miniseries "Fosse/Verdon."
- 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: Craig Huffstodt Triple: [Huff, leadCharacterName, Craig Huffstodt]
Generated description
Craig Huffstodt is the troubled psychiatrist protagonist of the television drama series "Huff," portrayed by actor Hank Azaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Huffstodt Target entity description: Craig Huffstodt is the troubled psychiatrist protagonist of the television drama series "Huff," portrayed by actor Hank Azaria.
-
A.
Max Stottlemeyer
Max Stottlemeyer is the son of San Francisco Police Captain Leland Stottlemeyer from the television series "Monk."
-
B.
John Hufnagel
John Hufnagel is a prominent Canadian Football League coach and executive best known for leading the Calgary Stampeders to multiple Grey Cup championships.
-
C.
Don Ettlinger
Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
-
D.
Charles Rettig
Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
-
E.
George Stelzner
George Stelzner is a television producer best known for serving as an executive producer on the biographical miniseries "Fosse/Verdon."
- 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_6a0328fce5e08190978999856bbd6498 |
completed | May 12, 2026, 1:19 p.m. |
| NEDg | Description generation | batch_6a032a4f7f6081909aa860d7b461b9e4 |
completed | May 12, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032ab3a0d48190897789d9b91d9e1e |
completed | May 12, 2026, 1:27 p.m. |
Created at: April 10, 2026, 5:24 a.m.