Triple
T11102848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boney Kapoor |
E262553
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mili |
E694864
|
NE FINISHED |
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: Mili | Statement: [Boney Kapoor, notableWork, Mili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mili Context triple: [Boney Kapoor, notableWork, Mili]
-
A.
Mili
chosen
Mili is a 1975 Hindi drama film directed by Hrishikesh Mukherjee, known for Jaya Bhaduri’s acclaimed performance as a spirited young woman facing a terminal illness.
-
B.
Mio
Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
-
C.
Mimili
Mimili is a remote Aboriginal community in South Australia, home primarily to Pitjantjatjara people and known for its strong cultural traditions and art.
-
D.
Mille
Mille is a French surname most notably borne by individuals such as Stéphane Mille.
-
E.
Moiliili
Moiliili is a historic, culturally diverse neighborhood in urban Honolulu on the island of Oahu, known for its local shops, eateries, and proximity to the University of Hawaiʻi at Mānoa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2c30a481908c45020c37caebe4 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7ff368c8190ab01b7538ad83826 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.