Triple
T20433589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Nobody |
E501193
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object |
Ramsey
Ramsey is a skilled hacker and tech expert in the Fast & Furious film franchise who assists Dominic Toretto's crew.
|
E241106
|
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: Ramsey | Statement: [Mr. Nobody, allyOf, Ramsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramsey Context triple: [Mr. Nobody, allyOf, Ramsey]
-
A.
Ramsey
Ramsey is a surname of English and Scottish origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Ramsey
Ramsey is a fearless and friendly Tyrannosaurus rex who helps guide the young Apatosaurus Arlo in Pixar's animated film "The Good Dinosaur."
-
C.
Ramsey
Ramsey is a coastal town in the north of the Isle of Man, known as one of the island’s main population centers and a local commercial and transport hub.
-
D.
Ramsey
Ramsey is a brilliant hacker and tech expert in the Fast & Furious film series, known for creating the powerful surveillance program "God's Eye."
-
E.
Ramsey
Ramsey is a historic market town in the English county of Cambridgeshire, known for its medieval abbey and rural surroundings.
- 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: Ramsey Triple: [Mr. Nobody, allyOf, Ramsey]
Generated description
Ramsey is a skilled hacker and tech expert in the Fast & Furious film franchise who assists Dominic Toretto's crew.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramsey Target entity description: Ramsey is a skilled hacker and tech expert in the Fast & Furious film franchise who assists Dominic Toretto's crew.
-
A.
Ramsey
Ramsey is a coastal town in the north of the Isle of Man, known as one of the island’s main population centers and a local commercial and transport hub.
-
B.
Ramsey
chosen
Ramsey is a brilliant hacker and tech expert in the Fast & Furious film series, known for creating the powerful surveillance program "God's Eye."
-
C.
Ramsey
Ramsey is a historic market town in the English county of Cambridgeshire, known for its medieval abbey and rural surroundings.
-
D.
Ramsey
Ramsey is a surname of English and Scottish origin borne by various notable individuals across fields such as science, politics, and the arts.
-
E.
Ramsey
Ramsey is a fearless and friendly Tyrannosaurus rex who helps guide the young Apatosaurus Arlo in Pixar's animated film "The Good Dinosaur."
- F. None of above.
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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685eba35881908c316443b6d789fb |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883f6c80c81908b47bf320d2e9aab |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08866d577881908044203520bd408d |
completed | May 16, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08876f09048190aad39c5d6d16ce6e |
completed | May 16, 2026, 3:04 p.m. |
Created at: April 16, 2026, 11:31 a.m.