Triple
T15914683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu al-Faiz |
E385938
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nal o Daman |
E377848
|
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: Nal o Daman | Statement: [Abu al-Faiz, notableWork, Nal o Daman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nal o Daman Context triple: [Abu al-Faiz, notableWork, Nal o Daman]
-
A.
Nal o Daman
chosen
Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
-
B.
Meenas
The Meenas are an indigenous tribal community of northern India, historically associated with agrarian livelihoods, local chieftaincies, and a distinct cultural and religious heritage.
-
C.
Mankatha
Mankatha is a 2011 Tamil action-thriller film directed by Venkat Prabhu, known for its heist plot and Ajith Kumar’s anti-hero performance.
-
D.
Nandanam
Nandanam is a prominent residential and commercial neighborhood in Chennai, India, known for its central location and connectivity.
-
E.
Dhool
Dhool is a popular 2003 Tamil action-comedy film starring Vikram, known for its mass appeal, energetic performances, and hit soundtrack.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1566216d481908dd6e3acaa26fd45 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05b15e8819083b67afa52f46283 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.