Triple
T17910924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SARA |
E447816
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | TOM |
—
|
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: TOM | Statement: [SARA, associatedWith, TOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TOM Context triple: [SARA, associatedWith, TOM]
-
A.
TOM
TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
-
B.
TOM
TOM is the National Rail station code assigned to Tottenham Hale railway station in London, England.
-
C.
TOM
TOM is the IATA airport code for Timbuktu Airport in Mali.
-
D.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
E.
Tom
Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.