Triple
T8447863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis |
E199719
|
entity |
| Predicate | hasSupervillain |
P32100
|
FINISHED |
| Object |
Metallo
Metallo is a DC Comics supervillain and cyborg enemy of Superman, typically powered by a kryptonite heart.
|
E733570
|
NE FINISHED |
How this triple was built (4 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: [Metropolis, hasSupervillain, Metallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metallo Context triple: [Metropolis, hasSupervillain, Metallo]
-
A.
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.
-
B.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
C.
Scorcha
Scorcha is a dancehall and reggae fusion album by Jamaican artist Sean Paul, showcasing his signature upbeat, club-ready sound.
-
D.
White Demon
White Demon is a formidable mythical monster from the Persian epic Shahnameh, best known as the fearsome adversary slain by the hero Rostam.
-
E.
The Iron
The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Metallo Triple: [Metropolis, hasSupervillain, Metallo]
Generated description
Metallo is a DC Comics supervillain and cyborg enemy of Superman, typically powered by a kryptonite heart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metallo Target entity description: Metallo is a DC Comics supervillain and cyborg enemy of Superman, typically powered by a kryptonite heart.
-
A.
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.
-
B.
Bonecrusher
Bonecrusher is a Decepticon from the Transformers franchise, typically depicted as a brutal, heavily armed combatant who revels in destruction.
-
C.
Scorcha
Scorcha is a dancehall and reggae fusion album by Jamaican artist Sean Paul, showcasing his signature upbeat, club-ready sound.
-
D.
White Demon
White Demon is a formidable mythical monster from the Persian epic Shahnameh, best known as the fearsome adversary slain by the hero Rostam.
-
E.
The Iron
The Iron is the nickname of Scunthorpe United F.C., an English professional football club traditionally associated with the town’s steel industry.
- F. None of above. chosen
Provenance (5 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4576d48c8190a3e94d8ab3001b65 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dbf2e2c8190b20e842438acb4d5 |
completed | April 2, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ce1eddb9988190a77ab59f2867ad5d |
completed | April 2, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fb498448190a2737b8895f6bb48 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:09 p.m.