Triple
T9754007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mater |
E236509
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
Sir Tow Mater
Sir Tow Mater is the lovable, rusty tow truck and comic sidekick character from Pixar's Cars film franchise.
|
E818973
|
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: Sir Tow Mater | Statement: [Mater, fullName, Sir Tow Mater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Tow Mater Context triple: [Mater, fullName, Sir Tow Mater]
-
A.
Esio Trot
Esio Trot is a children's novel by Roald Dahl about a shy man who uses a clever tortoise-related ruse to win the affection of his neighbor.
-
B.
Koopie Koo
Koopie Koo is a minor character in the Paper Mario series, known as Koops' affectionate and supportive Koopa girlfriend from his hometown.
-
C.
Riki Rachtman
Riki Rachtman is an American television and radio personality best known for his influential role in promoting heavy metal and hard rock music on MTV in the late 1980s and early 1990s.
-
D.
Rose the Hat
Rose the Hat is the charismatic and sinister leader of the psychic vampire cult known as the True Knot in Stephen King's horror universe.
-
E.
Geronimi
Geronimi is an Italian-origin surname most notably associated with Clyde Geronimi, a prominent animator and director for Walt Disney Studios.
- 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: Sir Tow Mater Triple: [Mater, fullName, Sir Tow Mater]
Generated description
Sir Tow Mater is the lovable, rusty tow truck and comic sidekick character from Pixar's Cars film franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Tow Mater Target entity description: Sir Tow Mater is the lovable, rusty tow truck and comic sidekick character from Pixar's Cars film franchise.
-
A.
Esio Trot
Esio Trot is a children's novel by Roald Dahl about a shy man who uses a clever tortoise-related ruse to win the affection of his neighbor.
-
B.
Koopie Koo
Koopie Koo is a minor character in the Paper Mario series, known as Koops' affectionate and supportive Koopa girlfriend from his hometown.
-
C.
Riki Rachtman
Riki Rachtman is an American television and radio personality best known for his influential role in promoting heavy metal and hard rock music on MTV in the late 1980s and early 1990s.
-
D.
Rose the Hat
Rose the Hat is the charismatic and sinister leader of the psychic vampire cult known as the True Knot in Stephen King's horror universe.
-
E.
Geronimi
Geronimi is an Italian-origin surname most notably associated with Clyde Geronimi, a prominent animator and director for Walt Disney Studios.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b0288b808190821287a2cc54025d |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b243b2d48190b4e57871dca3f38f |
completed | April 5, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b2e335e48190b8d45097fd686c55 |
completed | April 5, 2026, 12:54 a.m. |
Created at: March 30, 2026, 8:24 p.m.