Triple
T2605820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Social Security |
E58654
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Crown |
E1996
|
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: Crown | Statement: [Department of Social Security, ownedBy, Crown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crown Context triple: [Department of Social Security, ownedBy, Crown]
-
A.
Crown
Crown is a major American publishing imprint of Penguin Random House known for releasing high-profile nonfiction and bestselling works by prominent public figures.
-
B.
Crown
chosen
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
C.
White Crown
The White Crown was the ancient Egyptian royal headdress symbolizing the kingship of Upper Egypt before and after its unification with Lower Egypt.
-
D.
Red Crown
The Red Crown is the ancient Egyptian royal headdress symbolizing the authority and sovereignty of the ruler of Lower Egypt.
-
E.
On the Crown
On the Crown is a famous political oration by the Athenian statesman and orator Demosthenes, defending his public career and attacking his rival Aeschines.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd864958c8190b3ad6123f1ac78ca |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83dac58c81908be66bf40c810e3c |
completed | March 10, 2026, 2:37 a.m. |
Created at: March 6, 2026, 9:49 p.m.