Triple
T18659292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Tamm |
E456147
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tamm |
E1097511
|
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: Tamm | Statement: [Igor Tamm, familyName, Tamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamm Context triple: [Igor Tamm, familyName, Tamm]
-
A.
Tamm
chosen
Tamm is a surname most notably associated with English actress Mary Tamm, known for her role as Romana in the long-running British science fiction series Doctor Who.
-
B.
Tammun
Tammun is a Palestinian town located in the Tubas Governorate in the northeastern West Bank.
-
C.
Ninalla
Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
-
D.
Shana
Shana is a feminine given name used in various cultures, often as a variant of Shanna or a modern form of the Hebrew name Shoshana.
-
E.
Tammneeme
Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550889580819090ceb0ea4c93acc7 |
completed | April 19, 2026, 10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051724da8881909e065ba1069ecb6c |
completed | May 14, 2026, 12:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.