Triple
T9450641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Mack |
E227878
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Thomas McAvity
Thomas McAvity was the husband of American actress and film producer Helen Mack.
|
E812808
|
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 McAvity | Statement: [Helen Mack, spouse, Thomas McAvity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas McAvity Context triple: [Helen Mack, spouse, Thomas McAvity]
-
A.
Tony McAnaney
Tony McAnaney is a British musician and composer best known for his work on television, particularly his music for the comedy-drama series "Auf Wiedersehen, Pet."
-
B.
Thomas McBean
Thomas McBean was an 18th-century British architect known for his work on notable ecclesiastical buildings in London.
-
C.
Tony McCarroll
Tony McCarroll is an English drummer best known as the original drummer for the rock band Oasis, playing on their debut album "Definitely Maybe."
-
D.
Ed McHugh
Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
-
E.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
- 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 McAvity Triple: [Helen Mack, spouse, Thomas McAvity]
Generated description
Thomas McAvity was the husband of American actress and film producer Helen Mack.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas McAvity Target entity description: Thomas McAvity was the husband of American actress and film producer Helen Mack.
-
A.
Tony McAnaney
Tony McAnaney is a British musician and composer best known for his work on television, particularly his music for the comedy-drama series "Auf Wiedersehen, Pet."
-
B.
Thomas McBean
Thomas McBean was an 18th-century British architect known for his work on notable ecclesiastical buildings in London.
-
C.
Tony McCarroll
Tony McCarroll is an English drummer best known as the original drummer for the rock band Oasis, playing on their debut album "Definitely Maybe."
-
D.
Ed McHugh
Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
-
E.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6649a48190b6844daa6202efe5 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189e601508190b116fca9854057bc |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18aee8ef8819080ce061f3d145712 |
completed | April 4, 2026, 10:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b34d14881909b8da862c12f8727 |
completed | April 4, 2026, 10:05 p.m. |
Created at: March 30, 2026, 7:51 p.m.