Triple
T9164833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asad |
E219923
|
entity |
| Predicate | scriptForm |
P9329
|
FINISHED |
| Object |
اسد
اسد یک نام عربی رایج است که بهمعنای «شیر» بوده و هم بهعنوان نام کوچک و هم نام خانوادگی در کشورهای عربزبان و جوامع مسلمان بهکار میرود.
|
E782490
|
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: اسد | Statement: [Asad, scriptForm, اسد]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: اسد Context triple: [Asad, scriptForm, اسد]
-
A.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
-
B.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
C.
Kissi
Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
-
D.
Al-Fil
Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
-
E.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
- 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: اسد Triple: [Asad, scriptForm, اسد]
Generated description
اسد یک نام عربی رایج است که بهمعنای «شیر» بوده و هم بهعنوان نام کوچک و هم نام خانوادگی در کشورهای عربزبان و جوامع مسلمان بهکار میرود.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: اسد Target entity description: اسد یک نام عربی رایج است که بهمعنای «شیر» بوده و هم بهعنوان نام کوچک و هم نام خانوادگی در کشورهای عربزبان و جوامع مسلمان بهکار میرود.
-
A.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
-
B.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
C.
Kissi
Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
-
D.
Al-Fil
Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
-
E.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ee64c8190a9a5abafe5d0b086 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05484c2688190a5c64b5b54bedbb5 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d0572b4d748190af34f7157aa4d7cd |
completed | April 4, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d057901d148190b663b36cc1dc3862 |
completed | April 4, 2026, 12:13 a.m. |
Created at: March 30, 2026, 7:22 p.m.