Triple
T7595206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flash Gordon |
E179840
|
entity |
| Predicate | setIn |
P1393
|
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: [Flash Gordon, setIn, planet Mongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: planet Mongo Context triple: [Flash Gordon, setIn, 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.
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.
-
D.
Mongmit
Mongmit is a historic town and former minor Shan principality in northern Myanmar, known for its role within the traditional Shan States.
-
E.
Mongoose, R.I.P.
"Mongoose, R.I.P." is a Cold War espionage novel by William F. Buckley Jr. featuring CIA agent Blackford Oakes.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8619d6f2081908c8b589d4106691f |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:53 p.m.