Triple
T20060604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominic Toretto's crew |
E499461
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Leon
Leon is a supporting character in the Fast & Furious franchise, known as one of Dominic Toretto’s original street-racing crew members in the first film.
|
E1409026
|
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: Leon | Statement: [Dominic Toretto's crew, member, Leon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leon Context triple: [Dominic Toretto's crew, member, Leon]
-
A.
Leon
Leon is the lion-themed mascot character of the Samsung Lions professional baseball team in South Korea.
-
B.
Leon
Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
-
C.
Leo
Leo is a 2023 Indian Tamil-language action thriller film directed by Lokesh Kanagaraj and starring Vijay, noted for its high-octane action and connection to the Lokesh Cinematic Universe.
-
D.
Leo
Leo is the first name of Dr. Leo Marvin, the uptight psychiatrist character from the comedy film "What About Bob?".
-
E.
Leo
Leo is a masculine given name of Latin origin meaning "lion," historically borne by popes, saints, and rulers.
- 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: Leon Triple: [Dominic Toretto's crew, member, Leon]
Generated description
Leon is a supporting character in the Fast & Furious franchise, known as one of Dominic Toretto’s original street-racing crew members in the first film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leon Target entity description: Leon is a supporting character in the Fast & Furious franchise, known as one of Dominic Toretto’s original street-racing crew members in the first film.
-
A.
Leon
Leon is a masculine given name of Greek origin meaning "lion," commonly used in various cultures worldwide.
-
B.
Leon
Leon is the lion-themed mascot character of the Samsung Lions professional baseball team in South Korea.
-
C.
Leo
Leo is a 2023 Indian Tamil-language action thriller film directed by Lokesh Kanagaraj and starring Vijay, noted for its high-octane action and connection to the Lokesh Cinematic Universe.
-
D.
Leo
Leo is the first name of Dr. Leo Marvin, the uptight psychiatrist character from the comedy film "What About Bob?".
-
E.
Leo
Leo is a masculine given name of Latin origin meaning "lion," historically borne by popes, saints, and rulers.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66374f4a48190beb575a6c84ebdb4 |
completed | April 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0816108a408190a62065447c1045bb |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816fe5788819095736bd9464cfed5 |
completed | May 16, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081798cb48819084ab456f79b68eb9 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:38 p.m.