Triple
T16063437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erich Hoeber |
E389670
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Meg |
E334512
|
NE FINISHED |
How this triple was built (2 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: The Meg | Statement: [Erich Hoeber, notableWork, The Meg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Meg Context triple: [Erich Hoeber, notableWork, The Meg]
-
A.
The Meg
chosen
The Meg is a 2018 science fiction action film about a massive prehistoric shark terrorizing a deep-sea research facility.
-
B.
The Meg 2: The Trench
The Meg 2: The Trench is a 2023 science fiction action film and sequel to "The Meg," featuring Jason Statham battling prehistoric sea creatures in deep-ocean settings.
-
C.
Colossal
Colossal is a 2016 genre-blending film that mixes dark comedy, science fiction, and character drama, in which Anne Hathaway plays a woman who discovers her personal struggles are mysteriously linked to a giant monster attacking Seoul.
-
D.
Rampage
Rampage is an American rapper and member of the Flipmode Squad, known for his collaborations with artists like Busta Rhymes and Craig Mack.
-
E.
Rampage
Rampage is a 2018 science fiction monster film starring Dwayne Johnson, loosely based on the classic arcade video game series of the same name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837b048881908326739bbede756f |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ca9748190be24a490c3cf0e8c |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.