Triple
T1982078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asteraceae |
E43048
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Tagetes
Tagetes is a genus of flowering plants commonly known as marigolds, valued for their bright ornamental blooms and use in traditional medicine and pest control.
|
E221243
|
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: Tagetes | Statement: [Asteraceae, includesGenus, Tagetes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagetes Context triple: [Asteraceae, includesGenus, Tagetes]
-
A.
Mirabilis
Mirabilis is an Israeli software company best known for creating the pioneering instant messaging service ICQ in the 1990s.
-
B.
Senecio
Senecio is a famous 1922 abstract painting by Paul Klee depicting a stylized, mask-like human face composed of geometric shapes and bold colors.
-
C.
Marigold
Marigold is a feminine given name most commonly associated with the bright yellow-orange flower and occasionally used in English-speaking countries.
-
D.
Soleirolia
Soleirolia is a small genus of delicate, mat-forming flowering plants best known for the ornamental houseplant commonly called baby’s tears.
-
E.
Jacinto
Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
- 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: Tagetes Triple: [Asteraceae, includesGenus, Tagetes]
Generated description
Tagetes is a genus of flowering plants commonly known as marigolds, valued for their bright ornamental blooms and use in traditional medicine and pest control.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tagetes Target entity description: Tagetes is a genus of flowering plants commonly known as marigolds, valued for their bright ornamental blooms and use in traditional medicine and pest control.
-
A.
Mirabilis
Mirabilis is an Israeli software company best known for creating the pioneering instant messaging service ICQ in the 1990s.
-
B.
Senecio
Senecio is a famous 1922 abstract painting by Paul Klee depicting a stylized, mask-like human face composed of geometric shapes and bold colors.
-
C.
Marigold
Marigold is a feminine given name most commonly associated with the bright yellow-orange flower and occasionally used in English-speaking countries.
-
D.
Soleirolia
Soleirolia is a small genus of delicate, mat-forming flowering plants best known for the ornamental houseplant commonly called baby’s tears.
-
E.
Jacinto
Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb81f5dac8190b5223fe2d59ee0d4 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae032e1f648190acb502b9f82fe8c2 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae03b52ed08190a8c8fb8f81073bb3 |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0433b90c81909af348d9a3dcdbec |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:37 p.m.