Triple
T5108075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thom de Graaf |
E115146
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Thom |
E337333
|
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: Thom | Statement: [Thom de Graaf, givenName, Thom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thom Context triple: [Thom de Graaf, givenName, Thom]
-
A.
Thom
chosen
Thom is a given name, typically used as a shortened or variant form of the name Thomas.
-
B.
Thom Mount
Thom Mount is an American film producer and former president of Universal Pictures known for overseeing and producing a range of influential Hollywood films.
-
C.
Scott Thompson
Scott Thompson is a Canadian comedian and actor best known as a core cast member of the influential sketch comedy troupe The Kids in the Hall.
-
D.
Christopher Thompson
Christopher Thompson is a French screenwriter, actor, and director known for his work on numerous films and collaborations within French cinema.
-
E.
Chris Thomas
Chris Thomas is a renowned British record producer known for his work with major rock acts such as The Beatles, Pink Floyd, and the Sex Pistols.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75aa6b088190b02cdb66ec4a11f0 |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9ec0fc819085dcd1d27f46f377 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.