Triple
T14547554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ePIC Persistent Identifier Consortium |
E341327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | ePIC Persistent Identifier Consortium |
E341327
|
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: ePIC Persistent Identifier Consortium | Statement: [ePIC Persistent Identifier Consortium, name, ePIC Persistent Identifier Consortium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ePIC Persistent Identifier Consortium Context triple: [ePIC Persistent Identifier Consortium, name, ePIC Persistent Identifier Consortium]
-
A.
ePIC Persistent Identifier Consortium
chosen
The ePIC Persistent Identifier Consortium is an international collaboration that provides and promotes persistent identifier services to support long-term access to digital research data and resources.
-
B.
EIDR
EIDR (Entertainment Identifier Registry) is a global unique identifier system used by the entertainment industry to reliably track and reference film, television, and other audiovisual content.
-
C.
Digital Object Identifier system
The Digital Object Identifier system is a standardized framework for assigning persistent, unique alphanumeric identifiers to digital content such as scholarly articles, enabling reliable citation, discovery, and long-term access.
-
D.
DataCite
DataCite is a global non-profit organization that provides persistent identifiers (DOIs) and related services to help the research community reliably identify, share, and cite research data and other research outputs.
-
E.
ORCID
ORCID is a non-profit organization that provides unique, persistent digital identifiers to researchers, enabling accurate attribution of their scholarly work across systems and platforms.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ebdf9481909f4d2da1ad31099c |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a6344b08190a3c1124c6dd7da96 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:23 a.m.