Triple
T23535885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Search (2014 film) |
E576697
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Hadji |
—
|
NE NERFINISHED |
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: Hadji | Statement: [The Search (2014 film), mainCharacter, Hadji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadji Context triple: [The Search (2014 film), mainCharacter, Hadji]
-
A.
Hadji
chosen
Hadji is a resourceful and loyal young Indian boy who serves as Jonny Quest’s close friend and companion in the animated adventure series "Jonny Quest."
-
B.
Haji
Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
-
C.
Hadji Nicho
Hadji Nicho is a literary work by Bulgarian writer and revolutionary Lyuben Karavelov, reflecting his social and national themes from the Bulgarian National Revival period.
-
D.
Hadim
Hadim is a rural district and town in Turkey known for its mountainous terrain, plateaus, and traditional Anatolian village life.
-
E.
Farhat
Farhat is a surname of Arabic origin borne by various individuals, including Tunisian figures such as Chadlia Saïda Farhat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1738bc81909a7b761ddbaa1883 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.