Triple
T16938068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Henderson |
E410875
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Michelle Henderson
Michelle Henderson is known as the mother of English singer and songwriter Ella Henderson.
|
E1313722
|
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: Michelle Henderson | Statement: [Ella Henderson, parent, Michelle Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Henderson Context triple: [Ella Henderson, parent, Michelle Henderson]
-
A.
Heidi Henderson
Heidi Henderson is known as the former spouse of the late American actor William Hurt.
-
B.
Laura Henderson
Laura Henderson is a wealthy, eccentric British widow best known as the real-life owner of London’s Windmill Theatre, whose story inspired the film "Mrs Henderson Presents."
-
C.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
-
D.
Michelle Harrison
Michelle Harrison is an editor and publishing professional known for her work on the book "The First Time."
-
E.
Marcia Henderson
Marcia Henderson was an American actress known for her work in film, television, and theater during the 1950s and early 1960s.
- 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: Michelle Henderson Triple: [Ella Henderson, parent, Michelle Henderson]
Generated description
Michelle Henderson is known as the mother of English singer and songwriter Ella Henderson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Henderson Target entity description: Michelle Henderson is known as the mother of English singer and songwriter Ella Henderson.
-
A.
Heidi Henderson
Heidi Henderson is known as the former spouse of the late American actor William Hurt.
-
B.
Laura Henderson
Laura Henderson is a wealthy, eccentric British widow best known as the real-life owner of London’s Windmill Theatre, whose story inspired the film "Mrs Henderson Presents."
-
C.
Michelle Hutcherson
Michelle Hutcherson is best known as the mother of American actor Josh Hutcherson, who has supported and accompanied him throughout his entertainment career.
-
D.
Michelle Harrison
Michelle Harrison is an editor and publishing professional known for her work on the book "The First Time."
-
E.
Marcia Henderson
Marcia Henderson was an American actress known for her work in film, television, and theater during the 1950s and early 1960s.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2b88bc8190aeb7b07032478ae3 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac4feddc8190a96df02c61b8d7a4 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad0f18cc819093701d38846c595b |
completed | May 12, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ada3d1708190a6c08197a1141cf1 |
completed | May 12, 2026, 10:45 p.m. |
Created at: April 10, 2026, 5:30 a.m.