Triple
T6792093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haroun Khalifa |
E155956
|
entity |
| Predicate | fightsAgainst |
P4567
|
FINISHED |
| Object | Khattam-Shud |
E157039
|
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: Khattam-Shud | Statement: [Haroun Khalifa, fightsAgainst, Khattam-Shud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khattam-Shud Context triple: [Haroun Khalifa, fightsAgainst, Khattam-Shud]
-
A.
Khattam-Shud
chosen
Khattam-Shud is the primary antagonist in Salman Rushdie’s novel "Haroun and the Sea of Stories," embodying censorship and the desire to silence stories and imagination.
-
B.
Zohak
Zohak is a mythological tyrant king from Persian legend, often depicted as a demonic ruler with serpents growing from his shoulders.
-
C.
Ghubar-e-Khatir
Ghubar-e-Khatir is a celebrated collection of reflective letters by Maulana Abul Kalam Azad, blending philosophy, theology, and personal musings written during his imprisonment.
-
D.
Khatima
Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
-
E.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ae4d1c819089ac6b3abf11a341 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8eaefc819098e848b3012da749 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.