Triple
T19468531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pluto V |
E487060
|
entity |
| Predicate | inResonanceWith |
P27378
|
FINISHED |
| Object | Kerberos |
—
|
NE NERFINISHED |
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: Kerberos | Statement: [Pluto V, inResonanceWith, Kerberos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerberos Context triple: [Pluto V, inResonanceWith, Kerberos]
-
A.
Kerberos
Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
-
B.
Kerberos
chosen
Kerberos is a small, irregularly shaped moon of Pluto discovered in 2011 as part of the Pluto system’s complex family of satellites.
-
C.
NTLM
NTLM is a Microsoft authentication protocol used to validate users and secure access in Windows-based networks and services.
-
D.
BID–Needham
BID–Needham is a community hospital in Needham, Massachusetts, affiliated with the Beth Israel Deaconess Medical Center network.
-
E.
Generic Security Services Application Programming Interface
The Generic Security Services Application Programming Interface (GSS-API) is a standard interface that allows applications to access security services such as authentication, integrity, and confidentiality in a mechanism-independent way.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.