Triple
T12131252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubiaceae |
E288940
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object |
Morinda
Morinda is a genus of flowering plants in the coffee family best known for species like Morinda citrifolia, commonly called noni, which is used in traditional medicine and commercial health products.
|
E968013
|
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: Morinda | Statement: [Rubiaceae, containsTaxon, Morinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morinda Context triple: [Rubiaceae, containsTaxon, Morinda]
-
A.
Merula
Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
-
B.
Manguin
Manguin is the surname of Henri Manguin, a French Fauvist painter known for his vibrant use of color and Mediterranean scenes.
-
C.
Matucana
Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
-
D.
Semeka
Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
-
E.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
- 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: Morinda Triple: [Rubiaceae, containsTaxon, Morinda]
Generated description
Morinda is a genus of flowering plants in the coffee family best known for species like Morinda citrifolia, commonly called noni, which is used in traditional medicine and commercial health products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morinda Target entity description: Morinda is a genus of flowering plants in the coffee family best known for species like Morinda citrifolia, commonly called noni, which is used in traditional medicine and commercial health products.
-
A.
Merula
Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
-
B.
Manguin
Manguin is the surname of Henri Manguin, a French Fauvist painter known for his vibrant use of color and Mediterranean scenes.
-
C.
Matucana
Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
-
D.
Semeka
Semeka is a former American college basketball player and coach best known for her standout career with the Tennessee Lady Volunteers under Pat Summitt.
-
E.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6048d6f24819093862fb46f9938f1 |
completed | May 2, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6056e3fdc81908e6e97c4c37a18bb |
completed | May 2, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.