Triple
T1487813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliezer Wiesel |
E29506
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Day |
E25893
|
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: [Eliezer Wiesel, notableWork, Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Context triple: [Eliezer Wiesel, notableWork, Day]
-
A.
Day
chosen
"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.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
C.
Muanda
Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
-
D.
Mon
The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
-
E.
Mardi
"Mardi" is an 1849 novel by Herman Melville, known as his first major foray into philosophical and allegorical fiction set in a fantastical South Seas archipelago.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a44efc819084254614d8ea4669 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1ca7804c8190b6818ff344908028 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.