Triple
T3167537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple iChat |
E66247
|
entity |
| Predicate | supportsProtocol |
P203
|
FINISHED |
| Object | Bonjour |
E200281
|
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: Bonjour | Statement: [Apple iChat, supportsProtocol, Bonjour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonjour Context triple: [Apple iChat, supportsProtocol, Bonjour]
-
A.
Bonjour
chosen
Bonjour is Apple’s zero-configuration networking technology that enables automatic discovery of devices and services on local IP networks.
-
B.
Bienvenues
Bienvenues is a renowned component of the name of the prestigious Burgundy Grand Cru white wine Bienvenues-Bâtard-Montrachet.
-
C.
Honi soit qui mal y pense
"Honi soit qui mal y pense" is a medieval French phrase meaning "Shame on him who thinks evil of it," best known as the chivalric motto of England’s Order of the Garter.
-
D.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
E.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6457acc8190b2b9acbd1cfcdb91 |
completed | March 8, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235e108cc81909d5733bd00cb0bee |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.