Triple
T9932394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Symantec |
E192676
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object |
MessageLabs
MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
|
E831098
|
NE FINISHED |
How this triple was built (4 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: MessageLabs | Statement: [Symantec, acquired, MessageLabs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MessageLabs Context triple: [Symantec, acquired, MessageLabs]
-
A.
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."
-
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 Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
-
D.
InMail
InMail is LinkedIn’s premium messaging tool that lets users directly contact other members they’re not connected with on the platform.
-
E.
Mailer
Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MessageLabs Triple: [Symantec, acquired, MessageLabs]
Generated description
MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MessageLabs Target entity description: MessageLabs was a pioneering cloud-based email and web security services provider known for its anti-spam and anti-virus solutions for businesses.
-
A.
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."
-
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 Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
-
D.
InMail
InMail is LinkedIn’s premium messaging tool that lets users directly contact other members they’re not connected with on the platform.
-
E.
Mailer
Mailer is Symfony’s email-sending component that provides a flexible, secure, and extensible way to create and deliver emails in PHP applications.
- F. None of above. chosen
Provenance (5 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b7897081909b28189aa57af250 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228d1620c8190ac7125b268dd6832 |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22c3a6fc0819083a376736325a04e |
completed | April 5, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22cabf39881908f45667751384df5 |
completed | April 5, 2026, 9:34 a.m. |
Created at: March 30, 2026, 8:43 p.m.