Triple
T2283596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishmael |
E51334
|
entity |
| Predicate | children |
P980
|
FINISHED |
| Object |
Kedar
Kedar is traditionally regarded as one of the sons of Ishmael and the ancestor of a nomadic Arab tribe mentioned in biblical and historical sources.
|
E252897
|
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: Kedar | Statement: [Ishmael, children, Kedar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kedar Context triple: [Ishmael, children, Kedar]
-
A.
Sundar
Sundar is the given name of Sundar Pichai, the Indian-American CEO of Alphabet Inc. and Google.
-
B.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
-
C.
Saketa
Saketa is the ancient name of the historic Indian city now known as Ayodhya, a major cultural and religious center in Hindu tradition.
-
D.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
E.
Pavanputra
Pavanputra is a revered epithet of the Hindu deity Hanuman, highlighting his divine parentage as the son of the wind god.
- 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: Kedar Triple: [Ishmael, children, Kedar]
Generated description
Kedar is traditionally regarded as one of the sons of Ishmael and the ancestor of a nomadic Arab tribe mentioned in biblical and historical sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kedar Target entity description: Kedar is traditionally regarded as one of the sons of Ishmael and the ancestor of a nomadic Arab tribe mentioned in biblical and historical sources.
-
A.
Sundar
Sundar is the given name of Sundar Pichai, the Indian-American CEO of Alphabet Inc. and Google.
-
B.
Shalin
Shalin is a Malaysian ten-pin bowler renowned for her numerous international titles and status as one of Asia’s most successful female bowlers.
-
C.
Saketa
Saketa is the ancient name of the historic Indian city now known as Ayodhya, a major cultural and religious center in Hindu tradition.
-
D.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
E.
Pavanputra
Pavanputra is a revered epithet of the Hindu deity Hanuman, highlighting his divine parentage as the son of the wind god.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2445f388190af643878145f8249 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f14b98481908c047bc52da3aa2e |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae8004fb6c81908f9fb1678f608419 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae809ebfdc8190ae404d5711a58b59 |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:48 p.m.