Triple
T11872025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darkseid |
E282426
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Kalibak |
E950531
|
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: Kalibak | Statement: [Darkseid, parentOf, Kalibak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalibak Context triple: [Darkseid, parentOf, Kalibak]
-
A.
Kalibak
chosen
Kalibak is a powerful and brutal DC Comics supervillain, the son of Darkseid and a fearsome warrior of Apokolips in Jack Kirby’s New Gods mythos.
-
B.
El Kabong
El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
-
C.
Kalithokai
Kalithokai is an ancient Tamil poetic anthology, renowned as one of the classical Sangam literature collections.
-
D.
Gyaur Kala
Gyaur Kala is an ancient walled fortress and archaeological site within the historic oasis-city complex of Merv in present-day Turkmenistan.
-
E.
Balasagun
Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be18b7d48190b7fb1c3a67a891ed |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417bb131c8190b0923e077cca74be |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.