Triple
T6013856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Serra |
E133898
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Orient |
E519883
|
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: Orient | Statement: [Richard Serra, placeOfDeath, Orient]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orient Context triple: [Richard Serra, placeOfDeath, Orient]
-
A.
Orient
Orient is a themed section of the Worlds of Fun amusement park inspired by Asian cultures and architecture.
-
B.
Orient
chosen
Orient is a small coastal hamlet on the North Fork of Long Island in New York, known for its historic charm and waterfront setting.
-
C.
L’Orient
L’Orient was a massive French ship of the line that served as Admiral Brueys’ flagship and was famously destroyed in a catastrophic explosion during the Battle of the Nile in 1798.
-
D.
Ourthe Orientale
Ourthe Orientale is a river in southeastern Belgium that forms one of the main headwaters of the Ourthe River in the Ardennes region.
-
E.
Oosteinde
Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f544fd88190b6777c4db04e274f |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108a7afe88190adeb690f40b2e1e9 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.