Triple
T16063439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erich Hoeber |
E389670
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Meg 2: The Trench |
E737585
|
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 2: The Trench | Statement: [Erich Hoeber, notableWork, The Meg 2: The Trench]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Meg 2: The Trench Context triple: [Erich Hoeber, notableWork, The Meg 2: The Trench]
-
A.
The Meg 2: The Trench
chosen
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.
-
B.
The Meg
The Meg is a 2018 science fiction action film about a massive prehistoric shark terrorizing a deep-sea research facility.
-
C.
47 Meters Down: Uncaged
47 Meters Down: Uncaged is a 2019 survival horror film about a group of teenage girls trapped by sharks in an underwater Mayan city.
-
D.
Mega-Kaiju
Mega-Kaiju is a colossal, city-destroying monster often depicted in science fiction as a fusion or ultimate form of multiple kaiju, serving as a climactic threat in large-scale battles.
-
E.
Piranha 3D
Piranha 3D is a 2010 horror-comedy film about prehistoric man-eating piranhas unleashed in a popular lake resort during spring break.
- 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_69ffeb8cca308190875432a5cf5f8616 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.