Triple
T16623743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Society |
E403893
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Metallo |
E733570
|
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: Metallo | Statement: [Secret Society, hasMember, Metallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metallo Context triple: [Secret Society, hasMember, Metallo]
-
A.
Metallo
chosen
Metallo is a DC Comics supervillain and cyborg enemy of Superman, typically powered by a kryptonite heart.
-
B.
Metallostroy
Metallostroy is an urban-type settlement in the Pushkinsky District of Saint Petersburg, Russia, known primarily as a residential and industrial suburb.
-
C.
Gran Metalik
Gran Metalik is a Mexican professional wrestler known for his high-flying lucha libre style and appearances in WWE’s cruiserweight and tag team divisions.
-
D.
Metal Skin
Metal Skin is a 1994 Australian cult drama film directed by Geoffrey Wright, noted for its gritty portrayal of disaffected youth and street racing subculture.
-
E.
Megaforce
"Megaforce" is a 1982 science fiction–action film about an elite high-tech military unit, notable for its campy tone and cult following.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db866e48190886aec7658835543 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.