Triple
T5254884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Tennant |
E118674
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Crowley
Crowley is the charismatic, sardonic demon and central character from Neil Gaiman and Terry Pratchett’s "Good Omens," known for his unlikely friendship with the angel Aziraphale and his reluctance to fully embrace evil.
|
E506683
|
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: Crowley | Statement: [David Tennant, portrayed, Crowley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowley Context triple: [David Tennant, portrayed, Crowley]
-
A.
Dillon
Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
-
B.
Dillon
Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
-
C.
Dillon
Dillon is the middle name of famed American baseball player and manager Casey Stengel.
-
D.
Dillon
Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
-
E.
Seymour
Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
- 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: Crowley Triple: [David Tennant, portrayed, Crowley]
Generated description
Crowley is the charismatic, sardonic demon and central character from Neil Gaiman and Terry Pratchett’s "Good Omens," known for his unlikely friendship with the angel Aziraphale and his reluctance to fully embrace evil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crowley Target entity description: Crowley is the charismatic, sardonic demon and central character from Neil Gaiman and Terry Pratchett’s "Good Omens," known for his unlikely friendship with the angel Aziraphale and his reluctance to fully embrace evil.
-
A.
Dillon
Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
-
B.
Dillon
Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
-
C.
Dillon
Dillon is the middle name of famed American baseball player and manager Casey Stengel.
-
D.
Dillon
Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
-
E.
Seymour
Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba2f5d08190850529659901ae0f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7708108190ac772f7b2d5ab02a |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff55faec8190a75a1b5f339a2c20 |
completed | March 21, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf001f0d9c8190a67909a06ea41898 |
completed | March 21, 2026, 8:31 p.m. |
Created at: March 20, 2026, 1:50 p.m.