Triple
T9347410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moira Lister |
E224926
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lister |
E281205
|
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: Lister | Statement: [Moira Lister, familyName, Lister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lister Context triple: [Moira Lister, familyName, Lister]
-
A.
Lister
chosen
Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
-
B.
Listahanan
Listahanan is the Philippine government’s national household targeting system used to identify and prioritize poor and vulnerable families for social protection programs.
-
C.
LisaList
LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
-
D.
litas
The litas was the national currency of Lithuania before the adoption of the euro.
-
E.
Entity List
The Entity List is a U.S. government trade-restriction roster identifying foreign persons, companies, and organizations subject to specific export control licensing requirements for national security and foreign policy reasons.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0f4c4c8190a94c0d44ef349d7d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e427883881909b3e71038759f064 |
completed | April 4, 2026, 10:12 a.m. |
Created at: March 30, 2026, 7:41 p.m.