Triple
T17022864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MANIAC I |
E412987
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | MANIAC II |
E1225729
|
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: MANIAC II | Statement: [MANIAC I, successor, MANIAC II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MANIAC II Context triple: [MANIAC I, successor, MANIAC II]
-
A.
MANIAC II
chosen
MANIAC II was an early, pioneering electronic computer developed in the 1950s at Los Alamos for advanced scientific and nuclear weapons calculations.
-
B.
MANIAC I
MANIAC I was an early, pioneering electronic digital computer built in the 1950s at Los Alamos National Laboratory, notable for its role in scientific and nuclear weapons calculations.
-
C.
Maniace
Maniace is a small municipality in eastern Sicily, Italy, known for its rural landscape and proximity to Mount Etna.
-
D.
Maniac
Maniac is a dark comedy-drama miniseries that blends psychological sci-fi and surreal storytelling, in which Emma Stone stars as a troubled woman participating in a mysterious pharmaceutical trial.
-
E.
Maniac
"Maniac" is a 1983 pop song by Michael Sembello, best known for its high-energy sound and association with the dance film Flashdance.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d1d2e48190bbcba129247c6c2e |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.