Triple
T4515492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Teresa Day Hennessy |
E102143
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tamar |
E108446
|
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: Tamar | Statement: [Tamar Teresa Day Hennessy, givenName, Tamar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamar Context triple: [Tamar Teresa Day Hennessy, givenName, Tamar]
-
A.
Tamar
chosen
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.
-
B.
Tamara
Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
-
C.
Ayelet
Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
-
D.
Rahel
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.
-
E.
Avigail
Avigail is a feminine given name, commonly used in Hebrew, that corresponds to the name Abigail.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5725745c81908bb462ba9537ae14 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f8f66ac8190b719a653686c7258 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:02 p.m.