Triple
T20356153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tihar Jail |
E496651
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
TJ’s
TJ’s is a prison-run brand associated with Tihar Jail in India that sells goods and products made by inmates as part of rehabilitation and vocational training programs.
|
E1426724
|
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: TJ’s | Statement: [Tihar Jail, hasBrand, TJ’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TJ’s Context triple: [Tihar Jail, hasBrand, TJ’s]
-
A.
Tony's
Tony's was a notable New York City nightclub and cabaret venue renowned for its intimate performances by leading torch singers and cabaret artists.
-
B.
Jimmy John’s
Jimmy John’s is an American sandwich restaurant chain known for its fast service and customizable submarine sandwiches.
-
C.
BJ's
BJ's is an American membership-based warehouse club chain offering discounted bulk groceries, household goods, and other merchandise.
-
D.
Mott's
Mott's is a well-known American brand best recognized for its apple-based juices and sauces.
-
E.
2Eleven
2Eleven is an American rapper known for his work in the West Coast hip-hop scene and collaborations with artists from the CTE World label.
- 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: TJ’s Triple: [Tihar Jail, hasBrand, TJ’s]
Generated description
TJ’s is a prison-run brand associated with Tihar Jail in India that sells goods and products made by inmates as part of rehabilitation and vocational training programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TJ’s Target entity description: TJ’s is a prison-run brand associated with Tihar Jail in India that sells goods and products made by inmates as part of rehabilitation and vocational training programs.
-
A.
Tony's
Tony's was a notable New York City nightclub and cabaret venue renowned for its intimate performances by leading torch singers and cabaret artists.
-
B.
Jimmy John’s
Jimmy John’s is an American sandwich restaurant chain known for its fast service and customizable submarine sandwiches.
-
C.
BJ's
BJ's is an American membership-based warehouse club chain offering discounted bulk groceries, household goods, and other merchandise.
-
D.
Mott's
Mott's is a well-known American brand best recognized for its apple-based juices and sauces.
-
E.
2Eleven
2Eleven is an American rapper known for his work in the West Coast hip-hop scene and collaborations with artists from the CTE World label.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67853f10881908ecde94036804a8a |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087081a8d88190a0144632eab72309 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0870fd8b8c8190ac7ac5d2b0d9e8c4 |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087213a0408190a9b553323d7ced1f |
completed | May 16, 2026, 1:33 p.m. |
Created at: April 16, 2026, 11:25 a.m.