Triple
T9574472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenyon |
E231009
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Miriam
Miriam is a prominent biblical figure known as the sister of Moses and Aaron and a prophetess during the Exodus of the Israelites from Egypt.
|
E81192
|
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: Miriam | Statement: [Kenyon, associatedWith, Miriam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miriam Context triple: [Kenyon, associatedWith, Miriam]
-
A.
Miriam
Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
-
B.
Miriam
Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
-
C.
Miryam
Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
-
D.
Peninnah
Peninnah is a biblical figure, one of Elkanah’s wives, known for provoking and taunting Hannah over her childlessness in the First Book of Samuel.
-
E.
Bilhah
Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
- 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: Miriam Triple: [Kenyon, associatedWith, Miriam]
Generated description
Miriam is a prominent biblical figure known as the sister of Moses and Aaron and a prophetess during the Exodus of the Israelites from Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miriam Target entity description: Miriam is a prominent biblical figure known as the sister of Moses and Aaron and a prophetess during the Exodus of the Israelites from Egypt.
-
A.
Miriam
chosen
Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
-
B.
Miriam
Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
-
C.
Miryam
Miryam is the Hebrew form of the name of the Virgin Mary, the mother of Jesus in Christian tradition.
-
D.
Peninnah
Peninnah is a biblical figure, one of Elkanah’s wives, known for provoking and taunting Hannah over her childlessness in the First Book of Samuel.
-
E.
Bilhah
Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99a94c788190a4bb5d2b676908ac |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1614f33108190901e3037654c50ab |
completed | April 4, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69d163f5ec3881909d179f50dca1edb6 |
completed | April 4, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d16450213c8190a7a0c97eb32422af |
completed | April 4, 2026, 7:19 p.m. |
Created at: March 30, 2026, 8:05 p.m.