Triple
T15442539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Mohammad Singh Azad |
E369940
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Ram |
E528371
|
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: Ram | Statement: [Ram Mohammad Singh Azad, hasGivenName, Ram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram Context triple: [Ram Mohammad Singh Azad, hasGivenName, Ram]
-
A.
Ram
chosen
Ram is a major Hindu deity revered as the seventh avatar of Vishnu and the virtuous hero of the epic Ramayana.
-
B.
Ram
Ram is an American truck and commercial vehicle brand known for its full-size pickup trucks and work-oriented vehicles, owned by the multinational automaker Stellantis.
-
C.
Ram
Ram is a 1971 studio album by Paul and Linda McCartney that blends melodic pop-rock with experimental touches and has grown from mixed initial reviews to become a critically acclaimed cult favorite.
-
D.
Ram
Ram is the English word for a male sheep, often symbolizing strength and aggression and used as a namesake for military units, sports teams, and vehicles.
-
E.
Ron
Ron is a West Chadic language spoken in parts of central Nigeria.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21ab80288190a1a4df8b714bba66 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.