Triple
T21005395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spectacular Spider-Man |
E517400
|
entity |
| Predicate | featuresVillain |
P23263
|
FINISHED |
| Object |
Spot
Spot is a Marvel Comics supervillain known for his portal-generating black spots that allow him to manipulate space and ambush opponents, often serving as an adversary to Spider-Man.
|
E1462441
|
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: Spot | Statement: [The Spectacular Spider-Man, featuresVillain, Spot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spot Context triple: [The Spectacular Spider-Man, featuresVillain, Spot]
-
A.
Spot
Spot is a four-legged, dog-like robotic platform developed by Boston Dynamics, known for its agility, autonomy, and use in industrial and inspection tasks.
-
B.
Spot
Spot is the feral human boy who befriends the young dinosaur Arlo in Pixar's animated film "The Good Dinosaur."
-
C.
Spot
Spot was an influential American record producer and engineer best known for shaping the sound of early 1980s punk and hardcore bands on labels like SST Records.
-
D.
Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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: Spot Triple: [The Spectacular Spider-Man, featuresVillain, Spot]
Generated description
Spot is a Marvel Comics supervillain known for his portal-generating black spots that allow him to manipulate space and ambush opponents, often serving as an adversary to Spider-Man.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spot Target entity description: Spot is a Marvel Comics supervillain known for his portal-generating black spots that allow him to manipulate space and ambush opponents, often serving as an adversary to Spider-Man.
-
A.
Spot
Spot is a four-legged, dog-like robotic platform developed by Boston Dynamics, known for its agility, autonomy, and use in industrial and inspection tasks.
-
B.
Spot
Spot is the feral human boy who befriends the young dinosaur Arlo in Pixar's animated film "The Good Dinosaur."
-
C.
Spot
Spot was an influential American record producer and engineer best known for shaping the sound of early 1980s punk and hardcore bands on labels like SST Records.
-
D.
Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3b25ec8190aa4530d1f0bb2b9e |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b580244819081930a1ab0a78f72 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a09403c9bac81908f15cea8b0b44239 |
completed | May 17, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0940b7e9e081908853730ea291605d |
completed | May 17, 2026, 4:14 a.m. |
Created at: April 16, 2026, 1:52 p.m.