Triple
T9592196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myra (given name) |
E231447
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Myrah
Myrah is a feminine given name, typically considered a modern or stylistic variant of the name Myra.
|
E809473
|
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: Myrah | Statement: [Myra (given name), hasVariant, Myrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrah Context triple: [Myra (given name), hasVariant, Myrah]
-
A.
Marielle
Marielle is a French surname most notably borne by the acclaimed actor Jean-Pierre Marielle.
-
B.
Lauren Lake
Lauren Lake is an American family lawyer, legal analyst, and television personality best known for presiding over courtroom shows such as "Paternity Court" and "We the People with Judge Lauren Lake."
-
C.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
-
D.
Nakia
Nakia is a skilled Wakandan spy and warrior in the Marvel Cinematic Universe, known for her courage, compassion, and close ties to T’Challa and Wakanda.
-
E.
Nakia
Nakia is a 1970s American television drama series centered on a Native American deputy sheriff navigating crime and cultural tensions in a small New Mexico town.
- 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: Myrah Triple: [Myra (given name), hasVariant, Myrah]
Generated description
Myrah is a feminine given name, typically considered a modern or stylistic variant of the name Myra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myrah Target entity description: Myrah is a feminine given name, typically considered a modern or stylistic variant of the name Myra.
-
A.
Marielle
Marielle is a French surname most notably borne by the acclaimed actor Jean-Pierre Marielle.
-
B.
Lauren Lake
Lauren Lake is an American family lawyer, legal analyst, and television personality best known for presiding over courtroom shows such as "Paternity Court" and "We the People with Judge Lauren Lake."
-
C.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
-
D.
Nakia
Nakia is a skilled Wakandan spy and warrior in the Marvel Cinematic Universe, known for her courage, compassion, and close ties to T’Challa and Wakanda.
-
E.
Nakia
Nakia is a 1970s American television drama series centered on a Native American deputy sheriff navigating crime and cultural tensions in a small New Mexico town.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a11ec7081908dc580de2f369706 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1618dfb688190bddd93c51bb6df41 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d165c365988190a751703b631a66be |
completed | April 4, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d16698b4ec8190b3b8a2432e65d8e8 |
completed | April 4, 2026, 7:29 p.m. |
Created at: March 30, 2026, 8:06 p.m.