Triple
T8384700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Weir |
E197784
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Artemis |
E23283
|
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: Artemis | Statement: [Andy Weir, notableWork, Artemis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artemis Context triple: [Andy Weir, notableWork, Artemis]
-
A.
Artemis
chosen
Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
-
B.
Artémis
Artémis is the French holding company of the Pinault family, overseeing a diverse portfolio of luxury, wine, art, and investment assets.
-
C.
Athena
Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
-
D.
Athena
"Athena" is a 1954 MGM musical romantic comedy film starring Jane Powell and Debbie Reynolds, centered on a health-obsessed family and their influence on a conventional lawyer.
-
E.
Athena
Athena is a central character in Helen Garner’s novella "The Children’s Bach," around whom much of the story’s emotional and relational tension revolves.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80e03eb08190a458c9caa0524e0f |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde826ebdc81909242805e48991e7d |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:02 p.m.