Triple
T6219561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Mugabe |
E139075
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Gabriel |
E8490
|
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: Gabriel | Statement: [Robert Mugabe, middleName, Gabriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Context triple: [Robert Mugabe, middleName, Gabriel]
-
A.
Gabriel
chosen
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
B.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
-
C.
Thoas
Thoas is a lesser-known figure in Greek mythology, traditionally mentioned as one of the sons of Ariadne.
-
D.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
E.
Melchior
Melchior is traditionally known as one of the Three Wise Men or Magi who visited the infant Jesus, often depicted as an aged king bearing gifts.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062bbb768819099402d367f124639 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dbbacf08190bbbb2863e19c3e7c |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:21 p.m.