Triple
T22459418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.F. Thomése |
E555191
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | P.F. Thomése |
—
|
NE NERFINISHED |
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: P.F. Thomése | Statement: [P.F. Thomése, name, P.F. Thomése]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: P.F. Thomése Context triple: [P.F. Thomése, name, P.F. Thomése]
-
A.
P.F. Thomése
chosen
P.F. Thomése is a Dutch author known for his stylistically rich and often experimental literary works, which have earned him major national recognition.
-
B.
P. C. Thomas
P. C. Thomas is an Indian politician from Kerala known for his leadership role in the Kerala Congress (Joseph) faction and his long-standing involvement in regional and national politics.
-
C.
G.E. Thomas
G.E. Thomas is an engineer and inventor best known for creating Manchester encoding, a widely used digital data transmission method.
-
D.
J. H. Thomas
J. H. Thomas was a prominent British Labour politician and trade union leader who held several senior government posts in the early 20th century.
-
E.
Frank Thomson
Frank Thomson was a notable figure significant enough in regional history or exploration that Alaska’s Thompson Pass was named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7e01fc8190825c3dc024484440 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.