Triple
T15060478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shalim |
E379610
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Shahar
Shahar is a figure from ancient Semitic mythology often associated with the dawn or morning star.
|
E1135678
|
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: Shahar | Statement: [Shalim, sibling, Shahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahar Context triple: [Shalim, sibling, Shahar]
-
A.
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
-
B.
Shoham
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
-
C.
Shahrak
Shahrak is a town located in Afghanistan’s central-western Ghor Province.
-
D.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
E.
Bais City
Bais City is a component city in Negros Oriental in the Central Visayas region of the Philippines, known for its sugar industry and dolphin- and whale-watching tourism.
- 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: Shahar Triple: [Shalim, sibling, Shahar]
Generated description
Shahar is a figure from ancient Semitic mythology often associated with the dawn or morning star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shahar Target entity description: Shahar is a figure from ancient Semitic mythology often associated with the dawn or morning star.
-
A.
Shahar
Shahar is an organization or group that includes Anindya Bose among its members.
-
B.
Shoham
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
-
C.
Shahrak
Shahrak is a town located in Afghanistan’s central-western Ghor Province.
-
D.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
E.
Bais City
Bais City is a component city in Negros Oriental in the Central Visayas region of the Philippines, known for its sugar industry and dolphin- and whale-watching tourism.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c612d481909575b76f7aa96c50 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea88329708190bd943e69c209458e |
completed | May 9, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea91cd358819092f4e2b9392039f8 |
completed | May 9, 2026, 3:25 a.m. |
Created at: April 10, 2026, 3:01 a.m.