Triple
T9506662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Gregg |
E229286
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Margo Gregg
Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
|
E835550
|
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: Margo Gregg | Statement: [Harry Gregg, spouse, Margo Gregg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margo Gregg Context triple: [Harry Gregg, spouse, Margo Gregg]
-
A.
Margo Lee
Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
-
B.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
C.
Margo Wilson
Margo Wilson was a pioneering Canadian evolutionary psychologist best known for her influential research on violence, homicide, and parental investment, often conducted in collaboration with Martin Daly.
-
D.
Margie Carsen
Margie Carsen is a character in the adventure film "The Librarian: Return to King Solomon's Mines," serving as a key figure in the story surrounding the quest for the legendary mines.
-
E.
Gretchen Morgan
Gretchen Morgan is a ruthless and resourceful antagonist in the TV series "Prison Break," known for her role as a high-ranking operative within the shadowy organization known as the Company.
- 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: Margo Gregg Triple: [Harry Gregg, spouse, Margo Gregg]
Generated description
Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margo Gregg Target entity description: Margo Gregg is known as the wife of legendary Northern Irish football goalkeeper Harry Gregg.
-
A.
Margo Lee
Margo Lee is an actress known for her role in the Australian musical comedy film "Starstruck" (1982).
-
B.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
-
C.
Margo Wilson
Margo Wilson was a pioneering Canadian evolutionary psychologist best known for her influential research on violence, homicide, and parental investment, often conducted in collaboration with Martin Daly.
-
D.
Margie Carsen
Margie Carsen is a character in the adventure film "The Librarian: Return to King Solomon's Mines," serving as a key figure in the story surrounding the quest for the legendary mines.
-
E.
Gretchen Morgan
Gretchen Morgan is a ruthless and resourceful antagonist in the TV series "Prison Break," known for her role as a high-ranking operative within the shadowy organization known as the Company.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9852b7e48190a8f69cbde10d2858 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2696450e4819086d5aac368127e5f |
completed | April 5, 2026, 1:53 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7:57 p.m.