Triple
T5290440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MUNCH |
E119727
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | MUNCH |
E119727
|
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: MUNCH | Statement: [MUNCH, name, MUNCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUNCH Context triple: [MUNCH, name, MUNCH]
-
A.
MUNCH
chosen
MUNCH is a major art museum in Oslo, Norway, dedicated to the life and works of the Norwegian painter Edvard Munch.
-
B.
Munchi
Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
-
C.
Mezzetin
Mezzetin is a painting by Antoine Watteau depicting a melancholic commedia dell’arte musician in a theatrical, romantic setting.
-
D.
Bitchois
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
-
E.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84eac7b88190900142bd1310c0fd |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06f066988190a3df7e270df84fdd |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.