Triple
T6817755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Anne MacLeod |
E156809
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Mary Smith |
E621986
|
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: Mary Smith | Statement: [Mary Anne MacLeod, mother, Mary Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Smith Context triple: [Mary Anne MacLeod, mother, Mary Smith]
-
A.
Mary Smith
Mary Smith is an individual known primarily as the sister of Sophia Smith.
-
B.
Mary Smith
chosen
Mary Smith is the daughter of Mary Anne MacLeod, who was the mother of former U.S. President Donald J. Trump.
-
C.
Anna Smith
Anna Smith is the wife of Mr. Alonzo Smith.
-
D.
Anna Smith
Anna Smith is a member of the fictional Smith family featured in the classic 1944 musical film "Meet Me in St. Louis."
-
E.
Jane Smith
Jane Smith is the fictional covert assassin and wife of John Smith played by Angelina Jolie in the action film "Mr. & Mrs. Smith."
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d355b52081909f037cec76bdccf6 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fa2655081909a511c9fecd1e0d2 |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:17 p.m.