Triple
T17864845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Menzies |
E446666
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Vega$ |
—
|
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: Vega$ | Statement: [Heather Menzies, appearedIn, Vega$]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vega$ Context triple: [Heather Menzies, 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 VV01
Vega VV01 is the inaugural flight model of the European Vega small-lift launch vehicle, used to validate the rocket’s design and performance in its maiden mission.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49792ccf88190a0984963bb385688 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.