Triple
T16685666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paresh Rawal |
E405455
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Naam
Naam is a 1986 Hindi drama film, widely remembered for its emotional storyline and performances, particularly by actor Paresh Rawal.
|
E1227449
|
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: Naam | Statement: [Paresh Rawal, notableWork, Naam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naam Context triple: [Paresh Rawal, notableWork, Naam]
-
A.
Nama
Nama is a Khoe language spoken primarily by the Nama people in Namibia and neighboring regions of southern Africa.
-
B.
Nome
Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
-
C.
Nume
Nume is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
-
D.
Nom
Nom is a domain name marketplace and service platform operating under the brand Nom.com.
-
E.
.name
.name is a generic top-level domain (gTLD) primarily intended for personal websites and individual online identities.
- 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: Naam Triple: [Paresh Rawal, notableWork, Naam]
Generated description
Naam is a 1986 Hindi drama film, widely remembered for its emotional storyline and performances, particularly by actor Paresh Rawal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naam Target entity description: Naam is a 1986 Hindi drama film, widely remembered for its emotional storyline and performances, particularly by actor Paresh Rawal.
-
A.
Nama
Nama is a Khoe language spoken primarily by the Nama people in Namibia and neighboring regions of southern Africa.
-
B.
Nome
Nome is a remote coastal city in western Alaska known historically for its gold rush heritage and as a key transportation and supply hub on the Bering Sea.
-
C.
Nume
Nume is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
-
D.
Nom
Nom is a domain name marketplace and service platform operating under the brand Nom.com.
-
E.
.name
.name is a generic top-level domain (gTLD) primarily intended for personal websites and individual online identities.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ba8227881908b1ac6e30d2e7c32 |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.