Triple
T14021209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thom |
E337333
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Thomson |
E86329
|
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: Thomson | Statement: [Thom, hasRelatedName, Thomson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomson Context triple: [Thom, hasRelatedName, Thomson]
-
A.
Thomson
chosen
Thomson is a common Scottish surname historically associated with the patronymic "son of Thomas" and borne by numerous notable figures in science, politics, and the arts.
-
B.
Thomson Corporation
Thomson Corporation was a major Canadian multinational media and information company that became one of the world’s largest providers of news and financial data before merging to form Thomson Reuters.
-
C.
Thomson and Thompson
Thomson and Thompson are the bumbling, nearly identical twin detectives from Hergé’s *The Adventures of Tintin*, known for their clumsy investigations and comic misunderstandings.
-
D.
Thomson SA
Thomson SA was a major French electronics and media conglomerate known for its consumer electronics, broadcasting, and defense-related technologies.
-
E.
TOMSON
TOMSON is the radio callsign used by Thomsonfly, a former British charter and scheduled airline.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32f78dc8190bd357d179cbaa5bc |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.