Triple
T13174945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League: Doom |
E313074
|
entity |
| Predicate | villain |
P4675
|
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: [Justice League: Doom, villain, Metallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metallo Context triple: [Justice League: Doom, villain, Metallo]
-
A.
Metallo
chosen
Metallo is a DC Comics supervillain and cyborg enemy of Superman, typically powered by a kryptonite heart.
-
B.
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.
-
C.
Megaforce
"Megaforce" is a 1982 science fiction–action film about an elite high-tech military unit, notable for its campy tone and cult following.
-
D.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
E.
Scorcha
Scorcha is a dancehall and reggae fusion album by Jamaican artist Sean Paul, showcasing his signature upbeat, club-ready sound.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c303e3c819086cf0f0b6d9e61ca |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eafe03c48190992df41f77fb043e |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:14 p.m.