Triple
T20405490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Genetrix festival |
E500455
|
entity |
| Predicate | nameElement |
P27866
|
FINISHED |
| Object |
Genetrix
Genetrix is an epithet of the Roman goddess Venus emphasizing her role as a divine ancestress and mother figure, particularly of the Roman people.
|
E1393435
|
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: Genetrix | Statement: [Venus Genetrix festival, nameElement, Genetrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genetrix Context triple: [Venus Genetrix festival, nameElement, Genetrix]
-
A.
Dei Genetrix
Dei Genetrix is the Latin title honoring the Virgin Mary as the Mother of God in Christian theology and devotion.
-
B.
Genisys
Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
-
C.
Medigoron
Medigoron is a prominent Goron blacksmith in The Legend of Zelda series, known for crafting powerful swords for the player.
-
D.
Gainax
Gainax is a renowned Japanese animation studio known for influential and stylistically bold works such as Neon Genesis Evangelion and FLCL.
-
E.
Ruxience
Ruxience is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
- 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: Genetrix Triple: [Venus Genetrix festival, nameElement, Genetrix]
Generated description
Genetrix is an epithet of the Roman goddess Venus emphasizing her role as a divine ancestress and mother figure, particularly of the Roman people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genetrix Target entity description: Genetrix is an epithet of the Roman goddess Venus emphasizing her role as a divine ancestress and mother figure, particularly of the Roman people.
-
A.
Dei Genetrix
chosen
Dei Genetrix is the Latin title honoring the Virgin Mary as the Mother of God in Christian theology and devotion.
-
B.
Genisys
Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
-
C.
Medigoron
Medigoron is a prominent Goron blacksmith in The Legend of Zelda series, known for crafting powerful swords for the player.
-
D.
Gainax
Gainax is a renowned Japanese animation studio known for influential and stylistically bold works such as Neon Genesis Evangelion and FLCL.
-
E.
Ruxience
Ruxience is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
- F. None of above.
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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67992cfb88190ae49a1723e6667a1 |
completed | April 20, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ec6b8c8190aeb3ef7443a64330 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08857a27f881908a7dab5ef4506a17 |
completed | May 16, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885f9e7d88190b3085f68add016d1 |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:29 a.m.