Triple
T15956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. |
E319
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
King
King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
|
E1611
|
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: King | Statement: [Martin Luther King Jr., familyName, King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Context triple: [Martin Luther King Jr., familyName, King]
-
A.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
B.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
C.
John Legend
John Legend is an American singer, songwriter, pianist, and actor known for his soulful R&B music and for being one of the few artists to achieve EGOT status (winning an Emmy, Grammy, Oscar, and Tony).
-
D.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
E.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
- 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: King Triple: [Martin Luther King Jr., familyName, King]
Generated description
King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: King Target entity description: King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
-
A.
William
William is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
B.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
C.
John Legend
John Legend is an American singer, songwriter, pianist, and actor known for his soulful R&B music and for being one of the few artists to achieve EGOT status (winning an Emmy, Grammy, Oscar, and Tony).
-
D.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
E.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
- F. None of above. chosen
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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a2400257208190b3cd87ad2a06c18f |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e572f08190b52158e063a066bf |
completed | Feb. 28, 2026, 1:46 a.m. |
| NEDg | Description generation | batch_69a2497d04248190a0a9037f79a932ef |
completed | Feb. 28, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a249dbe1108190a2a844ba4e570fea |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.