Triple
T16609093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Manekshaw |
E403519
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Manekshaw |
E403519
|
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: Manekshaw | Statement: [Sam Manekshaw, familyName, Manekshaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manekshaw Context triple: [Sam Manekshaw, familyName, Manekshaw]
-
A.
Manekshaw
chosen
Manekshaw is the surname of Sam Manekshaw, the celebrated Indian Field Marshal who played a pivotal role in the 1971 Indo-Pakistani War.
-
B.
Maneckji
Maneckji is the given name of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
-
C.
Meena Bazaar
Meena Bazaar is a bustling traditional market area in Dubai known for its gold jewelry, textiles, and South Asian shops and eateries.
-
D.
Kamal Basti
Kamal Basti is a historic Jain temple in Belagavi, Karnataka, known for its intricate stone architecture and religious significance.
-
E.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36094920881908051eb0a52e08440 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aa79408190b395d4cd9c6c1cb7 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.