Triple
T16457801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mantis |
E399725
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Viper |
E708893
|
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: Viper | Statement: [Mantis, allyOf, Viper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viper Context triple: [Mantis, allyOf, Viper]
-
A.
Viper
Viper is an informal nickname used by pilots for the F-16 Fighting Falcon, a highly maneuverable multirole fighter aircraft.
-
B.
Viper
Viper is a wooden roller coaster at Six Flags Great America known for its classic out-and-back layout and airtime-focused ride experience.
-
C.
Viper
chosen
Viper is a graceful and skilled green snake kung fu master from the Kung Fu Panda film series, known for her agility, kindness, and combat prowess as a member of the Furious Five.
-
D.
Viper
Viper is a Marvel Comics supervillain, often known as Madame Hydra, who is a ruthless terrorist leader and frequent adversary of Captain America and the Avengers.
-
E.
The Viper
The Viper is the ring persona of WWE superstar Randy Orton, known for his cold, calculating demeanor and sudden, devastating RKO finishing move.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.