Triple
T14908358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic |
E371194
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | TRU |
E1015075
|
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: TRU | Statement: [Magic, associatedAct, TRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRU Context triple: [Magic, associatedAct, TRU]
-
A.
TRU
TRU is the stock ticker symbol for TransUnion, a major American consumer credit reporting agency and data analytics company.
-
B.
TRU
TRU is the IATA airport code for Capitán FAP Carlos Martínez de Pinillos International Airport serving Trujillo, Peru.
-
C.
TRU
TRU is the National Rail station code for Truro railway station in Cornwall, England.
-
D.
Tru
chosen
Tru is a one-man stage play in which actor Robert Morse portrays writer Truman Capote late in his life, reflecting on his fame, relationships, and decline.
-
E.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61b3c808190b4f6df4e5cb401ad |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b91cbc8190af5a3e2db460bacc |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:25 a.m.