Triple
T11977366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Araceae |
E285071
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
Monstera
Monstera is a popular genus of tropical flowering plants known for its large, perforated leaves and widespread use as ornamental houseplants.
|
E960123
|
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: Monstera | Statement: [Araceae, includes, Monstera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monstera Context triple: [Araceae, includes, Monstera]
-
A.
Philodendron
Philodendron is a large genus of tropical flowering plants popular as ornamental houseplants for their attractive, often heart-shaped foliage and ease of care.
-
B.
Dieffenbachia
Dieffenbachia is a popular genus of tropical houseplants known for their large, variegated leaves and toxic sap that can cause irritation if ingested or touched.
-
C.
Pothos
Pothos is a minor Greek god personifying longing and desire, often associated with Aphrodite and the Erotes.
-
D.
Pilea
Pilea is a large genus of mostly tropical, herbaceous flowering plants commonly grown as ornamental houseplants for their attractive foliage.
-
E.
Dracaenae
Dracaenae are serpentine female monsters from Greek mythology, often depicted as part-woman and part-dragon or serpent.
- 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: Monstera Triple: [Araceae, includes, Monstera]
Generated description
Monstera is a popular genus of tropical flowering plants known for its large, perforated leaves and widespread use as ornamental houseplants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monstera Target entity description: Monstera is a popular genus of tropical flowering plants known for its large, perforated leaves and widespread use as ornamental houseplants.
-
A.
Philodendron
Philodendron is a large genus of tropical flowering plants popular as ornamental houseplants for their attractive, often heart-shaped foliage and ease of care.
-
B.
Dieffenbachia
Dieffenbachia is a popular genus of tropical houseplants known for their large, variegated leaves and toxic sap that can cause irritation if ingested or touched.
-
C.
Pothos
Pothos is a minor Greek god personifying longing and desire, often associated with Aphrodite and the Erotes.
-
D.
Pilea
Pilea is a large genus of mostly tropical, herbaceous flowering plants commonly grown as ornamental houseplants for their attractive foliage.
-
E.
Dracaenae
Dracaenae are serpentine female monsters from Greek mythology, often depicted as part-woman and part-dragon or serpent.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903926690819090e7ce982f103457 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a9628cc819095d15fd90023e57d |
completed | May 1, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69f48fc3baac8190af87b55164f00b26 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495ab52788190a886f7014267f8e2 |
completed | May 1, 2026, 11:59 a.m. |
Created at: April 8, 2026, 9:46 p.m.