Triple
T22667329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmi |
E559825
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Sri |
—
|
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: Sri | Statement: [Lakshmi, epithet, Sri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sri Context triple: [Lakshmi, epithet, Sri]
-
A.
Sri
Sri is the commonly used nickname of Sri Srinivasan, a prominent Indian-American jurist and Chief Judge of the U.S. Court of Appeals for the D.C. Circuit.
-
B.
Shri
chosen
Shri is a common Indian honorific prefix used as a polite form of address before a person’s name.
-
C.
Narayana
Narayana is a revered name of the Hindu god Vishnu, especially associated with his role as the supreme preserver and sustainer of the universe.
-
D.
Sharada
Sharada is an acclaimed Indian film actress, primarily known for her work in Malayalam and Telugu cinema, who gained prominence in the 1960s–70s and is celebrated for her powerful, award-winning performances.
-
E.
Sharada
Sharada is a Unicode block that encodes the historic Brahmic script once used for writing Sanskrit and Kashmiri in the northwestern regions of the Indian subcontinent.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781ceca08190ba1309570e81c5af |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:09 p.m.