Triple
T11357093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orb |
E268982
|
entity |
| Predicate | relatedTo |
P37
|
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: [Orb, relatedTo, Crown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crown Context triple: [Orb, relatedTo, Crown]
-
A.
Crown
chosen
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
B.
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.
-
C.
Crown
Crown is a prominent American business family name associated with influential industrialist and investor Lester Crown.
-
D.
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.
-
E.
Royal Crown
The Royal Crown is a traditional symbol of monarchy and sovereign authority, often used in heraldry to represent the reigning monarch’s power and legitimacy.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea419afc8190b3a93141d015ebdf |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543b3cbd88190bb479ac88f8ca710 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.