Triple
T9115090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Wars (2015) |
E218701
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Namor |
E219142
|
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: Namor | Statement: [Secret Wars (2015), featuresCharacter, Namor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namor Context triple: [Secret Wars (2015), featuresCharacter, Namor]
-
A.
Namor
chosen
Namor is a Marvel Comics antihero and ruler of the undersea kingdom of Atlantis, often depicted as a powerful and conflicted adversary or ally to various superheroes.
-
B.
Namorik
Namorik is a small coral atoll in the Marshall Islands, located in the Ralik Chain of the central Pacific Ocean.
-
C.
Merman
Merman is a British television production company co-founded by Sharon Horgan, known for creating acclaimed comedy and drama series.
-
D.
Black Manta
Black Manta is a vengeful, high-tech mercenary and one of Aquaman’s most iconic archenemies in DC Comics.
-
E.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a1340881909dc791b825e87ef2 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047afbc388190905b13582cd59b05 |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:16 p.m.