Triple
T14879030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eileen |
E349943
|
entity |
| Predicate | hasPronunciationVariant |
P35086
|
FINISHED |
| Object |
EE-leen
EE-leen is a phonetic spelling representing a common English pronunciation of the given name Eileen.
|
E1125325
|
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: EE-leen | Statement: [Eileen, hasPronunciationVariant, EE-leen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EE-leen Context triple: [Eileen, hasPronunciationVariant, EE-leen]
-
A.
ELE
ELE is the National Rail station code for Elmers End railway station in south-east London, England.
-
B.
LEE
LEE is a robotic grappling mechanism used on spacecraft robotic arms, notably on the Canadarm systems, to securely latch onto fixtures and manipulate payloads in space.
-
C.
LEE
LEE is the stock ticker symbol for Lee Enterprises, a U.S.-based media company that owns and operates numerous local newspapers and digital news platforms.
-
D.
Leece
Leece is a small rural village in the Low Furness area of Cumbria, England.
-
E.
Ellzee
Ellzee is a small municipality in the district of Günzburg in the Bavarian region of Germany.
- 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: EE-leen Triple: [Eileen, hasPronunciationVariant, EE-leen]
Generated description
EE-leen is a phonetic spelling representing a common English pronunciation of the given name Eileen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EE-leen Target entity description: EE-leen is a phonetic spelling representing a common English pronunciation of the given name Eileen.
-
A.
ELE
ELE is the National Rail station code for Elmers End railway station in south-east London, England.
-
B.
LEE
LEE is a robotic grappling mechanism used on spacecraft robotic arms, notably on the Canadarm systems, to securely latch onto fixtures and manipulate payloads in space.
-
C.
LEE
LEE is the stock ticker symbol for Lee Enterprises, a U.S.-based media company that owns and operates numerous local newspapers and digital news platforms.
-
D.
Leece
Leece is a small rural village in the Low Furness area of Cumbria, England.
-
E.
Ellzee
Ellzee is a small municipality in the district of Günzburg in the Bavarian region of Germany.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6d3aa2f08190b02c6157c03a2ba5 |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6db30e9c81908fbad7b932799a7a |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 1:55 a.m.