Triple
T17274428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shayla |
E419349
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Shaila
Shaila is a feminine given name used in various cultures, often considered a variant of names like Shayla or Sheila.
|
E1260707
|
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: Shaila | Statement: [Shayla, hasVariantSpelling, Shaila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaila Context triple: [Shayla, hasVariantSpelling, Shaila]
-
A.
Shalini
Shalini is an Indian former film actress best known for her work as a child artist and leading lady in Malayalam and Tamil cinema.
-
B.
Vaidehi
Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
-
C.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
D.
Shoba
Shoba was an acclaimed Indian film actress known for her powerful performances in Malayalam and Tamil cinema, whose promising career was cut short by her tragic death at a young age.
-
E.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
- 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: Shaila Triple: [Shayla, hasVariantSpelling, Shaila]
Generated description
Shaila is a feminine given name used in various cultures, often considered a variant of names like Shayla or Sheila.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shaila Target entity description: Shaila is a feminine given name used in various cultures, often considered a variant of names like Shayla or Sheila.
-
A.
Shalini
Shalini is an Indian former film actress best known for her work as a child artist and leading lady in Malayalam and Tamil cinema.
-
B.
Vaidehi
Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
-
C.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
D.
Shoba
Shoba was an acclaimed Indian film actress known for her powerful performances in Malayalam and Tamil cinema, whose promising career was cut short by her tragic death at a young age.
-
E.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332566c08190b4495dbbfe310ab6 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794f6cf481909d76e3d61f9888c5 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017b5abdc481909832a6e46d21b34b |
completed | May 11, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017bcf8a6081908922f5ef2673abae |
completed | May 11, 2026, 6:48 a.m. |
Created at: April 10, 2026, 5:40 a.m.