Triple
T3542523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Hilda Roberts |
E74919
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Roberts |
E17259
|
NE FINISHED |
How this triple was built (2 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: Roberts | Statement: [Margaret Hilda Roberts, familyName, Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberts Context triple: [Margaret Hilda Roberts, familyName, Roberts]
-
A.
Roberts
chosen
Roberts is the maiden surname of Margaret Thatcher, the former Prime Minister of the United Kingdom.
-
B.
Reid
Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
-
C.
Roberts Blossom
Roberts Blossom was an American character actor and poet best known for his eccentric, often haunting roles in films such as "Escape from Alcatraz" and "Home Alone."
-
D.
Ross
Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
-
E.
Ross
Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf73c5e881909a8352512928377b |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bdd0cb4819086119b54c2708850 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.