Triple
T1018292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Moon |
E21981
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Half Moon |
E21981
|
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: Half Moon | Statement: [Half Moon, hasNameInEnglish, Half Moon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Half Moon Context triple: [Half Moon, hasNameInEnglish, Half Moon]
-
A.
Half Moon
chosen
Half Moon is the English name of the Dutch ship Halve Maen, famed for Henry Hudson’s 1609 voyage that led to the exploration of present-day New York.
-
B.
Halfmoon
Halfmoon is a suburban town in eastern New York State known for its residential communities and proximity to the Capital District.
-
C.
Full Moon
Full Moon is a popular R&B song by American singer Brandy, released in 2002 as the title track of her third studio album.
-
D.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
-
E.
The Tragedy of the Moon
The Tragedy of the Moon is a collection of science essays by Isaac Asimov that explores astronomy, the Moon, and broader scientific and philosophical themes for a general audience.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c6005081909d9e56114c532d14 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb423fc8190af65e94f8e2e75d0 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.