Triple
T33202544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munna (Rangeela) |
E849940
|
entity |
| Predicate | hasUnspokenLoveFor |
P95052
|
FINISHED |
| Object |
Mili (Rangeela)
Mili is the spirited and ambitious young woman in the film "Rangeela" who becomes the object of deep, unspoken affection from her close friend Munna.
|
E2040627
|
NE FINISHED |
How this triple was built (3 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: Mili (Rangeela) | Statement: [Munna (Rangeela), hasUnspokenLoveFor, Mili (Rangeela)]
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: Mili (Rangeela) Triple: [Munna (Rangeela), hasUnspokenLoveFor, Mili (Rangeela)]
Generated description
Mili is the spirited and ambitious young woman in the film "Rangeela" who becomes the object of deep, unspoken affection from her close friend Munna.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnspokenLoveFor Context triple: [Munna (Rangeela), hasUnspokenLoveFor, Mili (Rangeela)]
-
A.
rumoredLoverOf
Indicates that one entity is widely believed or speculated to be the romantic partner or lover of another entity, without confirmed evidence.
-
B.
hasLoveLifeCharacteristic
Indicates that an entity possesses a particular quality, status, or attribute related to its romantic or love life.
-
C.
hasRumoredSubtext
Indicates that something is believed or speculated to contain an implied or hidden meaning that is not explicitly stated.
-
D.
fellInLoveWith
chosen
Indicates that one entity developed romantic love or deep affectionate feelings toward another entity.
-
E.
hasYoungLoverCharacter
Indicates that an entity is involved in a romantic or intimate relationship with a significantly younger lover character.
- F. None of above.
Provenance (6 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3525df69a881909122623695d02823 |
completed | June 19, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_6a35268520f881909b265b5ea58f2b9b |
completed | June 19, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3529902ecc8190837433ab0a0f7348 |
completed | June 19, 2026, 11:35 a.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 1, 2026, 1:30 a.m.