Triple
T16766608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Lor-Van |
E407479
|
entity |
| Predicate | planetOfDeath |
P23977
|
FINISHED |
| Object | Krypton |
E319033
|
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: Krypton | Statement: [Lara Lor-Van, planetOfDeath, Krypton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krypton Context triple: [Lara Lor-Van, planetOfDeath, Krypton]
-
A.
Krypton
chosen
Krypton is a television series set in the DC Comics universe that explores Superman’s home planet and ancestry before its destruction.
-
B.
Mondas
Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
-
C.
Vulcan
Vulcan is an active stratovolcano located near Rabaul in East New Britain Province, Papua New Guinea, known for its explosive eruptions, including the major 1994 event.
-
D.
Vulcan
Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
-
E.
Vulcan
Vulcan is a small town in southern Alberta, Canada, best known for embracing a Star Trek theme that attracts science fiction fans and tourists.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0330d6081908ce99f14c70b90f2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafa19888190bb7f96591f363867 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.