Triple
T23349749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Initialized Capital |
E591971
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Harjeet Taggar |
—
|
NE NERFINISHED |
How this triple was built (2 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: Harjeet Taggar | Statement: [Initialized Capital, foundedBy, Harjeet Taggar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harjeet Taggar Context triple: [Initialized Capital, foundedBy, Harjeet Taggar]
-
A.
Harjeet Taggar
chosen
Harjeet Taggar is a technology investor and entrepreneur best known as a co-founder of Initialized Capital and former partner at Y Combinator.
-
B.
Amarjeet Sohi
Amarjeet Sohi is a Canadian politician who serves as the mayor of Edmonton and is a former federal cabinet minister.
-
C.
Shaan Singh
Shaan Singh is a musician best known as a member of the band The Hooligans.
-
D.
Daljit Nagra
Daljit Nagra is a British poet known for his innovative use of Punjabi-inflected English and acclaimed collections exploring British-Asian identity.
-
E.
Charanjit Jutla
Charanjit Jutla is a cryptographer known for his research contributions in theoretical computer science and cryptographic protocols.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:19 p.m.