Triple
T12533896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tej Singh |
E299636
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tej
Tej is a masculine given name commonly used in South Asian cultures, particularly in India, often meaning "brightness" or "splendor."
|
E988543
|
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: Tej | Statement: [Tej Singh, givenName, Tej]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tej Context triple: [Tej Singh, givenName, Tej]
-
A.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
-
B.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
C.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
D.
Widney
Widney is a surname most notably associated with Robert Maclay Widney, a prominent 19th-century American judge and one of the founders of the University of Southern California.
-
E.
Singha
Singha is a mythical lion-like creature prominent in Southeast Asian art and folklore, especially in Thai and related cultural traditions, symbolizing power and protection.
- 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: Tej Triple: [Tej Singh, givenName, Tej]
Generated description
Tej is a masculine given name commonly used in South Asian cultures, particularly in India, often meaning "brightness" or "splendor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tej Target entity description: Tej is a masculine given name commonly used in South Asian cultures, particularly in India, often meaning "brightness" or "splendor."
-
A.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
-
B.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
C.
Mirinda
Mirinda is a fruit-flavored carbonated soft drink brand owned and produced by PepsiCo, popular in many countries around the world.
-
D.
Widney
Widney is a surname most notably associated with Robert Maclay Widney, a prominent 19th-century American judge and one of the founders of the University of Southern California.
-
E.
Singha
Singha is a mythical lion-like creature prominent in Southeast Asian art and folklore, especially in Thai and related cultural traditions, symbolizing power and protection.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc9b9ec8190a25e2658d79836bc |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64da25bf88190889273bf41e2f154 |
completed | May 2, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65213ed84819086fda178aaf9e774 |
completed | May 2, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:57 p.m.