Triple
T11066645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tareen tribe |
E261640
|
entity |
| Predicate | usesSurname |
P14929
|
FINISHED |
| Object |
Tarin
Tarin is a common surname associated with the Pashtun Tareen tribe, particularly found in regions of Pakistan and Afghanistan.
|
E903407
|
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: Tarin | Statement: [Tareen tribe, usesSurname, Tarin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarin Context triple: [Tareen tribe, usesSurname, Tarin]
-
A.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
B.
Taravai
Taravai is one of the inhabited islands of the Gambier Islands archipelago in French Polynesia, known for its remote location and traditional Polynesian character.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
E.
Taraklı
Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
- 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: Tarin Triple: [Tareen tribe, usesSurname, Tarin]
Generated description
Tarin is a common surname associated with the Pashtun Tareen tribe, particularly found in regions of Pakistan and Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarin Target entity description: Tarin is a common surname associated with the Pashtun Tareen tribe, particularly found in regions of Pakistan and Afghanistan.
-
A.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
B.
Taravai
Taravai is one of the inhabited islands of the Gambier Islands archipelago in French Polynesia, known for its remote location and traditional Polynesian character.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
E.
Taraklı
Taraklı is a small historic town in northwestern Turkey known for its well-preserved Ottoman-era wooden houses and tranquil rural atmosphere.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79920428c81908db824ab54e08e8d |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8a4cdb8819080765d746f477089 |
completed | April 18, 2026, 6:08 p.m. |
| NEDg | Description generation | batch_69e3d5cf52d081909c006d0281b55b22 |
completed | April 18, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3da9a5b148190863416c38403cbd3 |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 8, 2026, 9:26 p.m.