Triple
T10613419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirpan |
E276060
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kakkar K
Kakkar K is an alternative name for the Sikh religious article of faith known as the kirpan, a ceremonial sword or dagger symbolizing courage and the duty to protect the weak.
|
E873925
|
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: Kakkar K | Statement: [Kirpan, alsoKnownAs, Kakkar K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kakkar K Context triple: [Kirpan, alsoKnownAs, Kakkar K]
-
A.
Lord Kakkar
Lord Kakkar is a British surgeon and crossbench peer known for his leadership roles in public service and healthcare governance.
-
B.
Karan
Karan is the given first name of Lord Bilimoria, a prominent British-Indian entrepreneur and life peer.
-
C.
Kallar Kahar
Kallar Kahar is a town in Pakistan’s Punjab province known for its scenic lake, historic Mughal-era garden, and location along the M2 Motorway.
-
D.
Kaakki Sattai
Kaakki Sattai is a popular 1985 Tamil-language action film starring Kamal Haasan, known for its engaging cop story, hit songs, and commercial success.
-
E.
Karamlesh
Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
- 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: Kakkar K Triple: [Kirpan, alsoKnownAs, Kakkar K]
Generated description
Kakkar K is an alternative name for the Sikh religious article of faith known as the kirpan, a ceremonial sword or dagger symbolizing courage and the duty to protect the weak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kakkar K Target entity description: Kakkar K is an alternative name for the Sikh religious article of faith known as the kirpan, a ceremonial sword or dagger symbolizing courage and the duty to protect the weak.
-
A.
Lord Kakkar
Lord Kakkar is a British surgeon and crossbench peer known for his leadership roles in public service and healthcare governance.
-
B.
Karan
Karan is the given first name of Lord Bilimoria, a prominent British-Indian entrepreneur and life peer.
-
C.
Kallar Kahar
Kallar Kahar is a town in Pakistan’s Punjab province known for its scenic lake, historic Mughal-era garden, and location along the M2 Motorway.
-
D.
Kaakki Sattai
Kaakki Sattai is a popular 1985 Tamil-language action film starring Kamal Haasan, known for its engaging cop story, hit songs, and commercial success.
-
E.
Karamlesh
Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ecd44b08190bccbedd63544ba17 |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95fc0430c8190b968a651d854d041 |
completed | April 10, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9610843048190913190bf546d3df1 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:33 p.m.