Triple
T10046375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac OS X 10.4 Tiger |
E207625
|
entity |
| Predicate | includedComponent |
P1393
|
FINISHED |
| Object | Mail 2 |
E41444
|
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: Mail 2 | Statement: [Mac OS X 10.4 Tiger, includedComponent, Mail 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mail 2 Context triple: [Mac OS X 10.4 Tiger, includedComponent, Mail 2]
-
A.
Mail
chosen
Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
-
B.
Mail
Mail is a Flask extension class that provides a simple interface for sending email messages from Flask web applications.
-
C.
MAIL
MAIL is the stock ticker symbol for Mail.ru Group, a major Russian internet and online services company.
-
D.
Posta
Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
-
E.
Mailie
Mailie is the doomed ewe featured as the central, dying character in Robert Burns’s poem "The Death and Dying Words of Poor Mailie."
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf648f548190a7aa3b1594665831 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282888bac81909ccb5db5724c416d |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:56 p.m.