Triple
T1728982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enid |
E37565
|
entity |
| Predicate | hasSpelling |
P457
|
FINISHED |
| Object |
E-n-i-d
E-n-i-d is an alternative hyphenated spelling of the given name "Enid," which is of Welsh origin and often associated with literary and historical usage.
|
E195291
|
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: E-n-i-d | Statement: [Enid, hasSpelling, E-n-i-d]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-n-i-d Context triple: [Enid, hasSpelling, E-n-i-d]
-
A.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
B.
Nese
Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
-
C.
Nettie
Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
-
D.
Ellies
The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
-
E.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
- 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: E-n-i-d Triple: [Enid, hasSpelling, E-n-i-d]
Generated description
E-n-i-d is an alternative hyphenated spelling of the given name "Enid," which is of Welsh origin and often associated with literary and historical usage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-n-i-d Target entity description: E-n-i-d is an alternative hyphenated spelling of the given name "Enid," which is of Welsh origin and often associated with literary and historical usage.
-
A.
Nene
Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
-
B.
Nese
Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
-
C.
Nettie
Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
-
D.
Ellies
The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
-
E.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637da7048190a06f2eec6cb87f70 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8af6b034819087f6d168b9f5249a |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad979ce880819089daecbc8455ec84 |
completed | March 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9ba92a848190918a8748fb65348a |
completed | March 8, 2026, 3:54 p.m. |
Created at: March 4, 2026, 7:30 p.m.