Triple
T765178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Palin |
E16158
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Thomas Palin
Thomas Palin is one of the children of British comedian, actor, writer, and former Monty Python member Michael Palin.
|
E91433
|
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: Thomas Palin | Statement: [Michael Palin, hasChild, Thomas Palin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Palin Context triple: [Michael Palin, hasChild, Thomas Palin]
-
A.
Tony James
Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
-
B.
Mark Parsons
Mark Parsons is an English football manager best known for his successful tenure leading the Portland Thorns FC in the National Women's Soccer League.
-
C.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
D.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
-
E.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
- 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: Thomas Palin Triple: [Michael Palin, hasChild, Thomas Palin]
Generated description
Thomas Palin is one of the children of British comedian, actor, writer, and former Monty Python member Michael Palin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Palin Target entity description: Thomas Palin is one of the children of British comedian, actor, writer, and former Monty Python member Michael Palin.
-
A.
Tony James
Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
-
B.
Mark Parsons
Mark Parsons is an English football manager best known for his successful tenure leading the Portland Thorns FC in the National Women's Soccer League.
-
C.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
D.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
-
E.
Andrew Dunn
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69dfeb08190b54a476cfa66e6d6 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a666760a4c8190afd00dbfc263be28 |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a66a6289a881909a2ada9c8a5ea091 |
completed | March 3, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66ad0da0081909fc828eccabf5b80 |
completed | March 3, 2026, 5 a.m. |
Created at: March 1, 2026, 7:37 p.m.