Triple
T20932321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cow |
E515499
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object |
Gāv
Gāv is a landmark 1969 Iranian drama film by Dariush Mehrjui, widely regarded as a cornerstone of the Iranian New Wave cinema movement.
|
E1458127
|
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: Gāv | Statement: [The Cow, originalTitle, Gāv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gāv Context triple: [The Cow, originalTitle, Gāv]
-
A.
Gāthina
Gāthina is a figure associated with the ancient Kushika dynasty, a lineage linked to early Vedic and legendary royal traditions in India.
-
B.
Gajary
Gajary is a village and municipality in western Slovakia, situated in the Bratislava Region.
-
C.
Godwari
Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
-
D.
Gossa
Gossa is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes and small communities within Aukra Municipality.
-
E.
Gudia
Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
- 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: Gāv Triple: [The Cow, originalTitle, Gāv]
Generated description
Gāv is a landmark 1969 Iranian drama film by Dariush Mehrjui, widely regarded as a cornerstone of the Iranian New Wave cinema movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gāv Target entity description: Gāv is a landmark 1969 Iranian drama film by Dariush Mehrjui, widely regarded as a cornerstone of the Iranian New Wave cinema movement.
-
A.
Gāthina
Gāthina is a figure associated with the ancient Kushika dynasty, a lineage linked to early Vedic and legendary royal traditions in India.
-
B.
Gajary
Gajary is a village and municipality in western Slovakia, situated in the Bratislava Region.
-
C.
Godwari
Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
-
D.
Gossa
Gossa is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes and small communities within Aukra Municipality.
-
E.
Gudia
Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65681b4819083c7ef6b44ba4bdb |
completed | April 21, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fd064248190ae7ae1c980b68b8c |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a0920c37ec48190a043097a24151022 |
completed | May 17, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09219be3c48190a610062e59e05876 |
completed | May 17, 2026, 2:02 a.m. |
Created at: April 16, 2026, 12:49 p.m.