Triple
T20351413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khandhar |
E496018
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Dip
Dip is a character from the Indian horror film "Khandhar," contributing to the movie's eerie and suspenseful narrative.
|
E1425070
|
NE FINISHED |
How this triple was built (4 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: Dip | Statement: [Khandhar, hasCharacter, Dip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dip Context triple: [Khandhar, hasCharacter, Dip]
-
A.
Dip
"Dip" is a viral hip-hop track by TisaKorean known for its playful energy and popularity in dance challenges.
-
B.
Steady Dippen
Steady Dippen is a 1994 West Coast hip hop single by rapper Mista Grimm, known for its laid-back G-funk style and regional popularity.
-
C.
Dip Set
Dip Set is an alias for The Diplomats, a Harlem-based hip hop group founded by Cam'ron and Jim Jones known for its influential role in early-2000s East Coast rap.
-
D.
DIP
DIP is a key object-oriented design principle that promotes decoupling by having high-level modules depend on abstractions rather than concrete implementations.
-
E.
Dipoto
Dipoto is the surname of Jerry Dipoto, a former Major League Baseball pitcher and current baseball executive.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dip Triple: [Khandhar, hasCharacter, Dip]
Generated description
Dip is a character from the Indian horror film "Khandhar," contributing to the movie's eerie and suspenseful narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dip Target entity description: Dip is a character from the Indian horror film "Khandhar," contributing to the movie's eerie and suspenseful narrative.
-
A.
Dip
"Dip" is a viral hip-hop track by TisaKorean known for its playful energy and popularity in dance challenges.
-
B.
Steady Dippen
Steady Dippen is a 1994 West Coast hip hop single by rapper Mista Grimm, known for its laid-back G-funk style and regional popularity.
-
C.
Dip Set
Dip Set is an alias for The Diplomats, a Harlem-based hip hop group founded by Cam'ron and Jim Jones known for its influential role in early-2000s East Coast rap.
-
D.
DIP
DIP is a key object-oriented design principle that promotes decoupling by having high-level modules depend on abstractions rather than concrete implementations.
-
E.
Dipoto
Dipoto is the surname of Jerry Dipoto, a former Major League Baseball pitcher and current baseball executive.
- F. None of above. chosen
Provenance (5 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086967aef88190b138be722f410e82 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.