Triple
T21309290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Slattery |
E525284
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Sheila Slattery
Sheila Slattery is known as the sister of British comedian and actor Tony Slattery.
|
E1478594
|
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: Sheila Slattery | Statement: [Tony Slattery, hasSibling, Sheila Slattery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Slattery Context triple: [Tony Slattery, hasSibling, Sheila Slattery]
-
A.
Marcella Plunkett
Marcella Plunkett is an Irish actress known for her work in film, television, and theatre, including roles in productions such as "The Special Relationship."
-
B.
Sheila Hailey
Sheila Hailey was a British-born writer and memoirist best known for her autobiographical works and for being married to bestselling novelist Arthur Hailey.
-
C.
Maud Sheehan
Maud Sheehan was the wife of Irish politician and Sinn Féin founder Arthur Griffith.
-
D.
Margaret Houlihan
Margaret Houlihan is a strict yet compassionate head nurse in the M*A*S*H franchise, known for her professionalism, evolving relationships with fellow staff, and complex personal growth amid the Korean War setting.
-
E.
Jane O'Hara
Jane O'Hara is an actress known for her role in the film "Wish You Well."
- 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: Sheila Slattery Triple: [Tony Slattery, hasSibling, Sheila Slattery]
Generated description
Sheila Slattery is known as the sister of British comedian and actor Tony Slattery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheila Slattery Target entity description: Sheila Slattery is known as the sister of British comedian and actor Tony Slattery.
-
A.
Marcella Plunkett
Marcella Plunkett is an Irish actress known for her work in film, television, and theatre, including roles in productions such as "The Special Relationship."
-
B.
Sheila Hailey
Sheila Hailey was a British-born writer and memoirist best known for her autobiographical works and for being married to bestselling novelist Arthur Hailey.
-
C.
Maud Sheehan
Maud Sheehan was the wife of Irish politician and Sinn Féin founder Arthur Griffith.
-
D.
Margaret Houlihan
Margaret Houlihan is a strict yet compassionate head nurse in the M*A*S*H franchise, known for her professionalism, evolving relationships with fellow staff, and complex personal growth amid the Korean War setting.
-
E.
Jane O'Hara
Jane O'Hara is an actress known for her role in the film "Wish You Well."
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa916548190a11f8bb4255e3fed |
completed | April 21, 2026, 11:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5b401808190aa186d4ff5283b09 |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a653f0108190ac0881f63865222e |
completed | May 17, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a6e82b3881908bb85f0d7fe3d6d9 |
completed | May 17, 2026, 11:30 a.m. |
Created at: April 16, 2026, 4:06 p.m.