Triple
T4515236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy May Day |
E102137
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Day |
E305775
|
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: Day | Statement: [Dorothy May Day, familyName, Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Context triple: [Dorothy May Day, familyName, Day]
-
A.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
B.
Day
chosen
Day is a common English surname borne by numerous notable individuals across politics, law, arts, and sports.
-
C.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
D.
Egun
Egun are an ethnic group in southwestern Nigeria and neighboring Benin, culturally related to the Yoruba and Fon peoples and known for their distinct language and coastal communities.
-
E.
Day by Day
"Day by Day" is a popular devotional song from the 1971 musical *Godspell*, known for its simple, prayer-like lyrics and enduring presence in both theater and contemporary Christian music.
- 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.