Triple
T2698730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gábor |
E58577
|
entity |
| Predicate | equivalentFormOf |
P6530
|
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: [Gábor, equivalentFormOf, Gabriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Context triple: [Gábor, equivalentFormOf, Gabriel]
-
A.
Gabriel
chosen
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
B.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
-
C.
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.
-
D.
Raguel
Raguel is an archangel in Jewish and Christian tradition, often associated with justice, fairness, and harmony among angels.
-
E.
Tobias
Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf70f9088190acd4c8bd05deea47 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.