Triple
T603764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Sr. |
E11550
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Daddy King
Daddy King was the influential Baptist minister and civil rights leader who was the father of Martin Luther King Jr.
|
E75675
|
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: Daddy King | Statement: [Martin Luther King Sr., alsoKnownAs, Daddy King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daddy King Context triple: [Martin Luther King Sr., alsoKnownAs, Daddy King]
-
A.
Rollin King
Rollin King was an American businessman and co-founder of Southwest Airlines, instrumental in shaping the low-cost airline model in the United States.
-
B.
Dee Dee King
Dee Dee King was the hip hop–oriented alter ego and stage name adopted by Dee Dee Ramone, bassist and songwriter of the pioneering punk band the Ramones.
-
C.
Daddy
"Daddy" is a powerful and controversial confessional poem by Sylvia Plath that explores themes of trauma, oppression, and the speaker’s fraught relationship with her father.
-
D.
Handsome Dan
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
E.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
- 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: Daddy King Triple: [Martin Luther King Sr., alsoKnownAs, Daddy King]
Generated description
Daddy King was the influential Baptist minister and civil rights leader who was the father of Martin Luther King Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daddy King Target entity description: Daddy King was the influential Baptist minister and civil rights leader who was the father of Martin Luther King Jr.
-
A.
Rollin King
Rollin King was an American businessman and co-founder of Southwest Airlines, instrumental in shaping the low-cost airline model in the United States.
-
B.
Dee Dee King
Dee Dee King was the hip hop–oriented alter ego and stage name adopted by Dee Dee Ramone, bassist and songwriter of the pioneering punk band the Ramones.
-
C.
Daddy
"Daddy" is a powerful and controversial confessional poem by Sylvia Plath that explores themes of trauma, oppression, and the speaker’s fraught relationship with her father.
-
D.
Handsome Dan
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
E.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc67b248190b0bb195553f03be8 |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a523898af08190bfa7e73ab6e1c7f3 |
completed | March 2, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69a5242b276c8190a136453a02d59e0a |
completed | March 2, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5248026bc819094065322e0930098 |
completed | March 2, 2026, 5:47 a.m. |
Created at: March 1, 2026, 7:35 p.m.