Triple
T11871900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactus |
E282424
|
entity |
| Predicate | notableHerald |
P101977
|
FINISHED |
| Object |
Terrax the Tamer
Terrax the Tamer is a powerful Marvel Comics supervillain and former herald of Galactus known for his immense strength, control over rock and earth, and ruthless ambition.
|
E950557
|
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: Terrax the Tamer | Statement: [Galactus, notableHerald, Terrax the Tamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrax the Tamer Context triple: [Galactus, notableHerald, Terrax the Tamer]
-
A.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
B.
Xerus
Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
-
C.
Luppi
Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
-
D.
Dok-Ondar
Dok-Ondar is a renowned Ithorian collector and trader of rare and mysterious artifacts in the Star Wars universe, prominently featured at Black Spire Outpost on Batuu.
-
E.
Blaze the Dragon
Blaze the Dragon is the fiery dragon mascot representing the University of Alabama at Birmingham’s athletic teams.
- 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: Terrax the Tamer Triple: [Galactus, notableHerald, Terrax the Tamer]
Generated description
Terrax the Tamer is a powerful Marvel Comics supervillain and former herald of Galactus known for his immense strength, control over rock and earth, and ruthless ambition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terrax the Tamer Target entity description: Terrax the Tamer is a powerful Marvel Comics supervillain and former herald of Galactus known for his immense strength, control over rock and earth, and ruthless ambition.
-
A.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
B.
Xerus
Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
-
C.
Luppi
Luppi is a surname most notably associated with Argentine actor Federico Luppi, renowned for his work in Latin American and Spanish cinema.
-
D.
Dok-Ondar
Dok-Ondar is a renowned Ithorian collector and trader of rare and mysterious artifacts in the Star Wars universe, prominently featured at Black Spire Outpost on Batuu.
-
E.
Blaze the Dragon
Blaze the Dragon is the fiery dragon mascot representing the University of Alabama at Birmingham’s athletic teams.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281bcd4f88190bb2103a165cb9578 |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f28a9378348190866e38259cc9467e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c5f7638819098aa93aa1610ca0a |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:43 p.m.