Triple
T4680982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilak |
E103799
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Tilok
Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
|
E461881
|
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: Tilok | Statement: [Tilak, hasVariant, Tilok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilok Context triple: [Tilak, hasVariant, Tilok]
-
A.
Tilakkam
Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
B.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
C.
Tilo
Tilo is a central, enigmatic figure in Arundhati Roy’s novel "The Ministry of Utmost Happiness," whose complex personal history and relationships anchor much of the book’s emotional and political narrative.
-
D.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
E.
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.
- 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: Tilok Triple: [Tilak, hasVariant, Tilok]
Generated description
Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tilok Target entity description: Tilok is a variant spelling of the Indian given name "Tilak," commonly used in South Asian cultures.
-
A.
Tilakkam
Tilakkam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
B.
Tilpa
Tilpa is a tiny, remote village on the Darling River in outback New South Wales, Australia, known for its historic pub and role as a stopover for travelers and river communities.
-
C.
Tilo
Tilo is a central, enigmatic figure in Arundhati Roy’s novel "The Ministry of Utmost Happiness," whose complex personal history and relationships anchor much of the book’s emotional and political narrative.
-
D.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
E.
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.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636d306081908ff512896f54cb10 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03a8b7a88190bfc4f68438694995 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e0f1b08190b3e617150e34648c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:16 p.m.