Triple
T3463036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryl Sabara |
E73071
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Grimm
Grimm is a dark fantasy police procedural television series that blends crime-solving with folklore-inspired supernatural elements.
|
E358672
|
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: Grimm | Statement: [Daryl Sabara, appearedIn, Grimm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grimm Context triple: [Daryl Sabara, appearedIn, Grimm]
-
A.
Company of Wolves
Company of Wolves is a film production company known for its involvement in British cinema projects such as the 2002 adaptation of "Nicholas Nickleby."
-
B.
The Witch
The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
-
C.
The Witch
The Witch is a mysterious, prophetic figure in the film "Big Fish" who reveals to the protagonist how he will die, profoundly shaping his fearless approach to life.
-
D.
The Witch
The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
-
E.
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
- 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: Grimm Triple: [Daryl Sabara, appearedIn, Grimm]
Generated description
Grimm is a dark fantasy police procedural television series that blends crime-solving with folklore-inspired supernatural elements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grimm Target entity description: Grimm is a dark fantasy police procedural television series that blends crime-solving with folklore-inspired supernatural elements.
-
A.
Company of Wolves
Company of Wolves is a film production company known for its involvement in British cinema projects such as the 2002 adaptation of "Nicholas Nickleby."
-
B.
The Witch
The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
-
C.
The Witch
The Witch is a central, morally complex sorceress in the musical fantasy "Into the Woods," known for driving the plot through her curses, bargains, and eventual transformation.
-
D.
The Witch
The Witch is a mysterious, prophetic figure in the film "Big Fish" who reveals to the protagonist how he will die, profoundly shaping his fearless approach to life.
-
E.
Klaus
Klaus is a masculine given name of German origin commonly used in German-speaking countries.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0b73f481908c9f8d2b9b9bbbaf |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3612392308190b73dc2c757d02742 |
completed | March 13, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69b362247e008190b0f708056b353f7b |
completed | March 13, 2026, 1:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b362861bb48190a604de7bfdd6296d |
completed | March 13, 2026, 1:04 a.m. |
Created at: March 8, 2026, 3:17 p.m.