Triple
T9619491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estha |
E232304
|
entity |
| Predicate | twinOf |
P2516
|
FINISHED |
| Object | Rahel |
E232303
|
NE FINISHED |
How this triple was built (2 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: Rahel | Statement: [Estha, twinOf, Rahel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahel Context triple: [Estha, twinOf, Rahel]
-
A.
Rahel
chosen
Rahel is one of the central twin protagonists in Arundhati Roy’s novel "The God of Small Things," whose fragmented memories and experiences drive much of the story’s emotional and narrative arc.
-
B.
Bilhah
Bilhah is a biblical figure who served as Rachel’s maidservant and bore two of Jacob’s sons, Dan and Naphtali.
-
C.
Jacoba
Jacoba is a feminine given name of Dutch origin, historically borne by several notable women in the Netherlands and South Africa.
-
D.
Avkat Rochel
Avkat Rochel is a halakhic work by Rabbi Joseph Karo that addresses complex questions of Jewish law and ritual practice.
-
E.
Tamar
Tamar is a biblical figure in the Book of 2 Samuel, known as the daughter of King David whose tragic story of abuse and injustice profoundly impacts David’s family narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad295008190a4418d092576cb53 |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18225f9508190bde23b9d2a40bccc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:09 p.m.