Triple
T16865876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Hans Zarkov |
E410034
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | planet Mongo |
E410037
|
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: planet Mongo | Statement: [Dr. Hans Zarkov, associatedWith, planet Mongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: planet Mongo Context triple: [Dr. Hans Zarkov, associatedWith, planet Mongo]
-
A.
planet Mongo
chosen
Planet Mongo is a fictional, exotic world ruled by the tyrant Ming the Merciless in the Flash Gordon science fiction franchise.
-
B.
Mongo ma Ndemi
Mongo ma Ndemi is the local name for Mount Cameroon, an active volcano and the highest mountain in West Africa located in southwestern Cameroon.
-
C.
Planet Baab
Planet Baab is a fictional alien world featured as the primary setting in the animated science fiction comedy film "Escape from Planet Earth."
-
D.
Mantaray
Mantaray is the 2007 debut solo studio album by British singer Siouxsie Sioux, known for its eclectic mix of alternative rock, art pop, and atmospheric soundscapes.
-
E.
Mongoose
Mongoose is a popular Node.js object data modeling (ODM) library that provides a schema-based solution for modeling and interacting with MongoDB databases.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b5088f208190abfe937633ebe3fe |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4544124819080f20df1daa3f9ed |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:24 a.m.