Triple
T14973189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Morris |
E373375
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Vega$ |
E733479
|
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: Vega$ | Statement: [Greg Morris, appearedIn, Vega$]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vega$ Context triple: [Greg Morris, appearedIn, Vega$]
-
A.
Vega$
chosen
Vega$ is a television role played by American actor Robert Urich, best known for his work in popular TV series during the 1970s and 1980s.
-
B.
Vega (star)
Vega is a bright, nearby A-type main-sequence star in the constellation Lyra and one of the most luminous and studied stars in the night sky.
-
C.
Yle Vega
Yle Vega is a Finnish Swedish-language radio channel operated by the national public broadcaster Yleisradio (Yle), offering news, culture, and entertainment programming.
-
D.
Vega
Vega is a European small-lift launch vehicle developed by the European Space Agency and partners, primarily used to place light payloads into low Earth orbit.
-
E.
Vega
Vega is a common Spanish surname borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e767608190940eb6f16ea97451 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be8af688190832efb00695f8b20 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:50 a.m.