Triple
T3633390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kite Runner (film) |
E77009
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sohrab |
E124244
|
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: Sohrab | Statement: [The Kite Runner (film), mainCharacter, Sohrab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sohrab Context triple: [The Kite Runner (film), mainCharacter, Sohrab]
-
A.
Sohrab
chosen
Sohrab is a tragic hero in the Persian epic Shahnameh, famed as the valiant but ill-fated son of the champion Rostam.
-
B.
Shobab
Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
-
C.
Malek
Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
-
D.
Jamshid
Jamshid is a legendary king in Persian mythology, renowned for his long, prosperous reign and his central role in ancient Iranian cultural and epic traditions.
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30457608190840fb5b33f9965c4 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f1af1c48190a72effe80959bfb3 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.