Triple
T14019141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Joe Royal |
E337280
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Royal
Royal is a surname most notably associated with American singer Billy Joe Royal, known for his pop and country hits in the 1960s and beyond.
|
E618260
|
NE FINISHED |
How this triple was built (4 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: Royal | Statement: [Billy Joe Royal, familyName, Royal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Context triple: [Billy Joe Royal, familyName, Royal]
-
A.
Royal
Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
-
B.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
C.
Royal Highness
"Royal Highness" is a formal style used to address or refer to certain members of a royal family, typically princes and princesses, signifying high but not sovereign rank.
-
D.
Royale
Royale is a higher-end luxury trim level of the Oldsmobile Delta 88 full-size sedan, featuring upgraded comfort and styling options.
-
E.
Regent
Regent is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan train network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Royal Triple: [Billy Joe Royal, familyName, Royal]
Generated description
Royal is a surname most notably associated with American singer Billy Joe Royal, known for his pop and country hits in the 1960s and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Royal Target entity description: Royal is a surname most notably associated with American singer Billy Joe Royal, known for his pop and country hits in the 1960s and beyond.
-
A.
Royal
chosen
Royal is a French surname most prominently associated with politician Ségolène Royal, a leading figure in contemporary French public life.
-
B.
Regal
Regal is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
C.
Royal Highness
"Royal Highness" is a formal style used to address or refer to certain members of a royal family, typically princes and princesses, signifying high but not sovereign rank.
-
D.
Royale
Royale is a higher-end luxury trim level of the Oldsmobile Delta 88 full-size sedan, featuring upgraded comfort and styling options.
-
E.
Regent
Regent is a suburban railway station in Melbourne, Australia, serving the local community on the metropolitan train network.
- F. None of above.
Provenance (5 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43e28e288190827925f45b942959 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444a30a48190a2f65afcd5424d14 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:19 p.m.