Triple
T13796763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enter the Ninja |
E331536
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Mike Stone
Mike Stone is a screenwriter best known for penning the 1981 martial arts film "Enter the Ninja."
|
E1061754
|
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: Mike Stone | Statement: [Enter the Ninja, writer, Mike Stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Stone Context triple: [Enter the Ninja, writer, Mike Stone]
-
A.
Mike Stone
Mike Stone was a British record producer and audio engineer known for his work with rock and pop artists in the 1970s and 1980s.
-
B.
Mike Stone
Mike Stone is a fictional San Francisco police lieutenant and main character from the 1970s television series "The Streets of San Francisco."
-
C.
Jim Stone
Jim Stone is a fictional character from the television comedy series "Blunt Talk," which stars Patrick Stewart as a British newscaster in Los Angeles.
-
D.
Steve Gorman
Steve Gorman is an American drummer best known as a founding and longtime member of the rock band The Black Crowes.
-
E.
Marcus Stone
Marcus Stone was a 19th-century British painter and illustrator known for his work on Victorian novels and historical subjects.
- 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: Mike Stone Triple: [Enter the Ninja, writer, Mike Stone]
Generated description
Mike Stone is a screenwriter best known for penning the 1981 martial arts film "Enter the Ninja."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Stone Target entity description: Mike Stone is a screenwriter best known for penning the 1981 martial arts film "Enter the Ninja."
-
A.
Mike Stone
Mike Stone was a British record producer and audio engineer known for his work with rock and pop artists in the 1970s and 1980s.
-
B.
Mike Stone
Mike Stone is a fictional San Francisco police lieutenant and main character from the 1970s television series "The Streets of San Francisco."
-
C.
Jim Stone
Jim Stone is a fictional character from the television comedy series "Blunt Talk," which stars Patrick Stewart as a British newscaster in Los Angeles.
-
D.
Steve Gorman
Steve Gorman is an American drummer best known as a founding and longtime member of the rock band The Black Crowes.
-
E.
Marcus Stone
Marcus Stone was a 19th-century British painter and illustrator known for his work on Victorian novels and historical subjects.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:11 p.m.