Triple
T15726112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ham |
E381221
|
entity |
| Predicate | fatherOf |
P120
|
FINISHED |
| Object | Put |
E319256
|
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: Put | Statement: [Ham, fatherOf, Put]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Put Context triple: [Ham, fatherOf, Put]
-
A.
Put
chosen
Put is a biblical nation or people, often identified with regions of North Africa, that appears among the allies of Gog in prophetic scriptures.
-
B.
Putput
Putput is a small coastal settlement located on the Lihir Islands in Papua New Guinea.
-
C.
PUT
PUT is the commonly used abbreviation for Poznań University of Technology, a leading technical university located in Poznań, Poland.
-
D.
PUT
PUT is the National Rail station code for Putney railway station in southwest London, England.
-
E.
Pick
Pick is a surname most notably associated with Israeli singer and composer Svika Pick and his family, including his daughter Daniella Pick.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb357a88190a92641c8a8c20573 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f8b88081909855d3da0346fa25 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.