Triple
T17887546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vandal Savage |
E447235
|
entity |
| Predicate | alterEgo |
P39
|
FINISHED |
| Object |
Vandar Adg
Vandar Adg is the ancient Cro-Magnon man who becomes the immortal supervillain Vandal Savage in DC Comics.
|
E1293578
|
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: Vandar Adg | Statement: [Vandal Savage, alterEgo, Vandar Adg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vandar Adg Context triple: [Vandal Savage, alterEgo, Vandar Adg]
-
A.
Vánagandr
Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
-
B.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
-
C.
Vardans
The Vardans are a race of energy-based aliens in the Doctor Who universe known for their ability to travel along thought waves and attempt to conquer Gallifrey.
-
D.
Valmar
Valmar is the chief city of the Valar in Tolkien’s legendarium, renowned for its radiant bells and central role in the Blessed Realm.
-
E.
Varhadi
Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
- 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: Vandar Adg Triple: [Vandal Savage, alterEgo, Vandar Adg]
Generated description
Vandar Adg is the ancient Cro-Magnon man who becomes the immortal supervillain Vandal Savage in DC Comics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vandar Adg Target entity description: Vandar Adg is the ancient Cro-Magnon man who becomes the immortal supervillain Vandal Savage in DC Comics.
-
A.
Vánagandr
Vánagandr is an alternate name for Fenrir, the monstrous wolf of Norse mythology prophesied to kill Odin during Ragnarök.
-
B.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
-
C.
Vardans
The Vardans are a race of energy-based aliens in the Doctor Who universe known for their ability to travel along thought waves and attempt to conquer Gallifrey.
-
D.
Valmar
Valmar is the chief city of the Valar in Tolkien’s legendarium, renowned for its radiant bells and central role in the Blessed Realm.
-
E.
Varhadi
Varhadi is a regional dialect of Marathi spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c14c4348190bb77712d9eae1d51 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313dd15d481909d0d539817d11340 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031485c3908190a8fe49068d45e910 |
completed | May 12, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03151de8408190a4c8bc30f5606951 |
completed | May 12, 2026, 11:55 a.m. |
Created at: April 10, 2026, 10:18 a.m.