Triple
T7651555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Tham |
E173263
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tham |
E413071
|
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: Tham | Statement: [Carl Tham, familyName, Tham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tham Context triple: [Carl Tham, familyName, Tham]
-
A.
Tham
chosen
Tham is a personal name used as a variant form of the name Tan in certain cultural and linguistic contexts.
-
B.
Themne
Themne is an alternative spelling of the Temne, a major ethnic group primarily found in Sierra Leone in West Africa.
-
C.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
D.
Thalner
Thalner is an ancient town in Maharashtra, India, known for its historical significance as an early political and cultural center in the Khandesh region.
-
E.
Thal
Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701770ac881909452348c9547ab47 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89aeb66c081909f3a3d6385637c25 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.