Triple
T9848545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Jam |
E239404
|
entity |
| Predicate | notableVehicle |
P7744
|
FINISHED |
| Object |
Megalodon
Megalodon is a shark-themed Monster Jam truck known for its distinctive body design and high-flying freestyle performances in monster truck competitions.
|
E824219
|
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: Megalodon | Statement: [Monster Jam, notableVehicle, Megalodon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megalodon Context triple: [Monster Jam, notableVehicle, Megalodon]
-
A.
Noah Shark
Noah Shark is a music producer known for his work on rock recordings such as Tom Petty and the Heartbreakers’ early material.
-
B.
Cinetodus
Cinetodus is a genus of eeltail catfishes known from freshwater and coastal habitats in the Australasian region.
-
C.
Mosasaurus
Mosasaurus is a large, prehistoric marine reptile often depicted in popular culture as a powerful apex predator of the oceans.
-
D.
great white shark (Jaws)
The great white shark in "Jaws" is the massive, relentless predator that terrorizes Amity Island and serves as the primary antagonist of Steven Spielberg's classic 1975 thriller.
-
E.
Shark
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
- 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: Megalodon Triple: [Monster Jam, notableVehicle, Megalodon]
Generated description
Megalodon is a shark-themed Monster Jam truck known for its distinctive body design and high-flying freestyle performances in monster truck competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megalodon Target entity description: Megalodon is a shark-themed Monster Jam truck known for its distinctive body design and high-flying freestyle performances in monster truck competitions.
-
A.
Noah Shark
Noah Shark is a music producer known for his work on rock recordings such as Tom Petty and the Heartbreakers’ early material.
-
B.
Cinetodus
Cinetodus is a genus of eeltail catfishes known from freshwater and coastal habitats in the Australasian region.
-
C.
Mosasaurus
Mosasaurus is a large, prehistoric marine reptile often depicted in popular culture as a powerful apex predator of the oceans.
-
D.
great white shark (Jaws)
The great white shark in "Jaws" is the massive, relentless predator that terrorizes Amity Island and serves as the primary antagonist of Steven Spielberg's classic 1975 thriller.
-
E.
Shark
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb371894c8190971ba497a2801521 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5e6279c8190adb7e79ac1161bfa |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6917f0081908b2c82a826873faf |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d73452b48190ac3a0d6498a9a641 |
completed | April 5, 2026, 3:29 a.m. |
Created at: March 30, 2026, 8:34 p.m.