Triple
T123518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcan statue |
E2496
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object |
Vulcan
Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
|
E15463
|
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: Vulcan | Statement: [Vulcan statue, depicts, Vulcan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vulcan Context triple: [Vulcan statue, depicts, Vulcan]
-
A.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
B.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
C.
Gaia
Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
-
D.
Merkur
Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
-
E.
Titan
Titan is the largest moon of Saturn and one of the most intriguing bodies in the Solar System, known for its dense nitrogen-rich atmosphere and hydrocarbon lakes.
- 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: Vulcan Triple: [Vulcan statue, depicts, Vulcan]
Generated description
Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vulcan Target entity description: Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
-
A.
Venera
Venera is a grade or class within the Mexican Order of the Aztec Eagle, the country’s highest distinction awarded to foreigners.
-
B.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
C.
Gaia
Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
-
D.
Merkur
Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
-
E.
Titan
Titan is the largest moon of Saturn and one of the most intriguing bodies in the Solar System, known for its dense nitrogen-rich atmosphere and hydrocarbon lakes.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573ce0ac8190b49fb31d3d475bf9 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2aa453a8c81908d6d4d14aff8522e |
completed | Feb. 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69a2adde37f08190a0dc6da3ddfec1c0 |
completed | Feb. 28, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2aea7cbe081908151d50aac662e60 |
completed | Feb. 28, 2026, 9 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.