Triple
T2651662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Hermann Gottlieb |
E53911
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Mako Mori |
E2255
|
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: Mako Mori | Statement: [Dr. Hermann Gottlieb, collaboratesWith, Mako Mori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mako Mori Context triple: [Dr. Hermann Gottlieb, collaboratesWith, Mako Mori]
-
A.
Mako Mori
chosen
Mako Mori is a skilled Jaeger pilot and central protagonist in the science fiction film "Pacific Rim," known for her emotional depth, resilience, and pivotal role in humanity’s fight against the Kaiju.
-
B.
Masayuki
Masayuki is a Japanese given name commonly used for males.
-
C.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
D.
Mitsuru
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
E.
Nishi Amane
Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd93071248190820197936e3167f7 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98ce81fc8190b7c6c66acfcb87c7 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.