Triple
T22585167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numa Pompilius |
E564768
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tatia |
—
|
NE NERFINISHED |
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: Tatia | Statement: [Numa Pompilius, spouse, Tatia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatia Context triple: [Numa Pompilius, spouse, Tatia]
-
A.
Tatia
chosen
Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
-
B.
Talmai
Talmai is a biblical figure known as the king of Geshur and the father of Maacah, who became one of King David’s wives.
-
C.
Tasha
Tasha is a common given name, often used as a diminutive of Natasha.
-
D.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
-
E.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615c18f88190ad4f23639d15f337 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:45 p.m.