Triple
T8099156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael |
E189062
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Mikail
Mikail is a given name, commonly used in various cultures as a variant of Michael, often associated with religious and historical figures.
|
E711412
|
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: Mikail | Statement: [Mikael, hasVariantSpelling, Mikail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikail Context triple: [Mikael, hasVariantSpelling, Mikail]
-
A.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
B.
Ahmed
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
-
C.
Khaled
Khaled is the given name of DJ Khaled, the American record producer, DJ, and media personality known for his hit collaborations and catchphrases.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Majid
Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
- 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: Mikail Triple: [Mikael, hasVariantSpelling, Mikail]
Generated description
Mikail is a given name, commonly used in various cultures as a variant of Michael, often associated with religious and historical figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mikail Target entity description: Mikail is a given name, commonly used in various cultures as a variant of Michael, often associated with religious and historical figures.
-
A.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
B.
Ahmed
Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
-
C.
Khaled
Khaled is the given name of DJ Khaled, the American record producer, DJ, and media personality known for his hit collaborations and catchphrases.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Majid
Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42961ad4819085d023427fc5ac5f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc641d96e88190adee974b79d5fc05 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc68d9032c8190af6c5ff64fe46aff |
completed | April 1, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69f6bb308190a95df95d1a67cfec |
completed | April 1, 2026, 12:42 a.m. |
Created at: March 30, 2026, 5:30 p.m.