Triple
T7810222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lois |
E180659
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Eunice |
E108821
|
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: Eunice | Statement: [Lois, hasRelative, Eunice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eunice Context triple: [Lois, hasRelative, Eunice]
-
A.
Eunice
chosen
Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
-
B.
Merope Brown
Merope Brown is a character from the novel and film "National Velvet," one of the children in the Brown family around whom the horse-racing story revolves.
-
C.
Lucilla
Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
-
D.
Berenice
Berenice is a feminine given name of Greek origin, historically borne by Hellenistic queens and early Christian figures, and used in various European languages.
-
E.
Lydia
Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78bb4b08190b2b3b51c5a0a033c |
completed | March 30, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14651d488190b1bf6b875a2ebccd |
completed | March 31, 2026, 12:25 a.m. |
Created at: March 30, 2026, 4:37 p.m.