Triple
T18834596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike MacLean |
E460625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
2 Lava 2 Lantula!
2 Lava 2 Lantula! is a 2016 comedic science-fiction disaster film and sequel to Lavalantula, featuring giant fire-breathing spiders wreaking havoc.
|
E1345913
|
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: 2 Lava 2 Lantula! | Statement: [Mike MacLean, notableWork, 2 Lava 2 Lantula!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2 Lava 2 Lantula! Context triple: [Mike MacLean, notableWork, 2 Lava 2 Lantula!]
-
A.
Lava Lava
Lava Lava is a Tanzanian Bongo Flava singer and songwriter known for his romantic hits and for being signed to the WCB Wasafi record label founded by Diamond Platnumz.
-
B.
Lava Bangers
Lava Bangers is an instrumental hip-hop album by producer Lazerbeak, known for its hard-hitting beats and genre-blending production.
-
C.
Lava
Lava is a small hill town in West Bengal, India, known as a gateway to the Neora Valley National Park and for its cool climate and forested surroundings.
-
D.
Lava
"Lava" is a nonfiction book by Andrea Warren that explores the science, danger, and human stories surrounding volcanic eruptions.
-
E.
Lava
Lava is a legendary prince in the Hindu epic Ramayana, known as one of the twin sons of Rama and Sita.
- 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: 2 Lava 2 Lantula! Triple: [Mike MacLean, notableWork, 2 Lava 2 Lantula!]
Generated description
2 Lava 2 Lantula! is a 2016 comedic science-fiction disaster film and sequel to Lavalantula, featuring giant fire-breathing spiders wreaking havoc.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 2 Lava 2 Lantula! Target entity description: 2 Lava 2 Lantula! is a 2016 comedic science-fiction disaster film and sequel to Lavalantula, featuring giant fire-breathing spiders wreaking havoc.
-
A.
Lava Lava
Lava Lava is a Tanzanian Bongo Flava singer and songwriter known for his romantic hits and for being signed to the WCB Wasafi record label founded by Diamond Platnumz.
-
B.
Lava Bangers
Lava Bangers is an instrumental hip-hop album by producer Lazerbeak, known for its hard-hitting beats and genre-blending production.
-
C.
Lava
"Lava" is a nonfiction book by Andrea Warren that explores the science, danger, and human stories surrounding volcanic eruptions.
-
D.
Lava
Lava is a legendary prince in the Hindu epic Ramayana, known as one of the twin sons of Rama and Sita.
-
E.
Lava
Lava is a small hill town in West Bengal, India, known as a gateway to the Neora Valley National Park and for its cool climate and forested surroundings.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676957848190bbc1998f4e36d11e |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056984d9d88190ab457cef689a5159 |
completed | May 14, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0569fd03f081908d217efa260f8938 |
completed | May 14, 2026, 6:21 a.m. |
Created at: April 10, 2026, 11:56 a.m.