Triple
T6349563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine McPhee |
E142833
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Daniel McPhee
Daniel McPhee is the late father of American singer and actress Katharine McPhee, known primarily in connection with her life and career.
|
E591637
|
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: Daniel McPhee | Statement: [Katharine McPhee, father, Daniel McPhee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel McPhee Context triple: [Katharine McPhee, father, Daniel McPhee]
-
A.
Ian Mackley
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
B.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
E.
Mark McDermott
Mark McDermott is a person notable enough to be specifically distinguished from others sharing the McDermott surname.
- 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: Daniel McPhee Triple: [Katharine McPhee, father, Daniel McPhee]
Generated description
Daniel McPhee is the late father of American singer and actress Katharine McPhee, known primarily in connection with her life and career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel McPhee Target entity description: Daniel McPhee is the late father of American singer and actress Katharine McPhee, known primarily in connection with her life and career.
-
A.
Ian Mackley
Ian Mackley is the husband of British comedian and television personality Julian Clary.
-
B.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
C.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
D.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
E.
Mark McDermott
Mark McDermott is a person notable enough to be specifically distinguished from others sharing the McDermott surname.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bcec2c8190bb383605847b0f0b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640afafd48190b900fa5e0956d538 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6415e87a881909878709fa588c367 |
completed | March 27, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641d7131481908dd007023327d5a4 |
completed | March 27, 2026, 8:37 a.m. |
Created at: March 22, 2026, 4:31 p.m.