Triple
T8447864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis |
E199719
|
entity |
| Predicate | hasSupervillain |
P32100
|
FINISHED |
| Object |
Toyman
Toyman is a DC Comics supervillain known for using deadly toy-themed gadgets and elaborate traps to battle Superman in Metropolis.
|
E733571
|
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: Toyman | Statement: [Metropolis, hasSupervillain, Toyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyman Context triple: [Metropolis, hasSupervillain, Toyman]
-
A.
Scarecrow
Scarecrow is a 1973 American road drama film directed by Jerry Schatzberg and starring Gene Hackman and Al Pacino as drifters traveling across the United States.
-
B.
Scarecrow
Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
-
C.
Skerik
Skerik is an American saxophonist known for his experimental, jazz, and rock collaborations, particularly in the Seattle music scene.
-
D.
Leopard-man
Leopard-man is a human-animal hybrid creature in H. G. Wells's novel "The Island of Doctor Moreau," embodying the horror and ethical questions surrounding the scientist's grotesque experiments in vivisection.
-
E.
Red Demon
Red Demon is the fierce athletic mascot representing Dodge City High School’s sports teams and school spirit.
- 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: Toyman Triple: [Metropolis, hasSupervillain, Toyman]
Generated description
Toyman is a DC Comics supervillain known for using deadly toy-themed gadgets and elaborate traps to battle Superman in Metropolis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyman Target entity description: Toyman is a DC Comics supervillain known for using deadly toy-themed gadgets and elaborate traps to battle Superman in Metropolis.
-
A.
Scarecrow
Scarecrow is a 1973 American road drama film directed by Jerry Schatzberg and starring Gene Hackman and Al Pacino as drifters traveling across the United States.
-
B.
Scarecrow
Scarecrow is a Batman supervillain and deranged psychiatrist who uses fear-inducing toxins to terrorize Gotham City.
-
C.
Skerik
Skerik is an American saxophonist known for his experimental, jazz, and rock collaborations, particularly in the Seattle music scene.
-
D.
Leopard-man
Leopard-man is a human-animal hybrid creature in H. G. Wells's novel "The Island of Doctor Moreau," embodying the horror and ethical questions surrounding the scientist's grotesque experiments in vivisection.
-
E.
Red Demon
Red Demon is the fierce athletic mascot representing Dodge City High School’s sports teams and school spirit.
- 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.