Triple
T12149009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claron Formation |
E289403
|
entity |
| Predicate | subunit |
P35
|
FINISHED |
| Object |
White Member
White Member is a distinct stratigraphic subdivision of the Claron Formation, characterized by its light-colored sedimentary rock layers.
|
E964065
|
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: White Member | Statement: [Claron Formation, subunit, White Member]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Member Context triple: [Claron Formation, subunit, White Member]
-
A.
Whites
Whites is an alternative name for the White movement, the loose coalition of anti-Bolshevik forces that fought against the Red Army during the Russian Civil War (1917–1923).
-
B.
Whites
The Whites, or White Mountains, are a rugged mountain range in northern New Hampshire known for their high peaks, challenging hiking trails, and iconic sections of the Appalachian Trail.
-
C.
Whites
Whites are a racial group of people typically characterized by light skin tones and European ancestry.
-
D.
Single White Female
Single White Female is a 1992 psychological thriller film about a woman whose new roommate becomes dangerously obsessed with her.
-
E.
White
White is a common English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
- 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: White Member Triple: [Claron Formation, subunit, White Member]
Generated description
White Member is a distinct stratigraphic subdivision of the Claron Formation, characterized by its light-colored sedimentary rock layers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: White Member Target entity description: White Member is a distinct stratigraphic subdivision of the Claron Formation, characterized by its light-colored sedimentary rock layers.
-
A.
Whites
Whites is an alternative name for the White movement, the loose coalition of anti-Bolshevik forces that fought against the Red Army during the Russian Civil War (1917–1923).
-
B.
Whites
The Whites, or White Mountains, are a rugged mountain range in northern New Hampshire known for their high peaks, challenging hiking trails, and iconic sections of the Appalachian Trail.
-
C.
Whites
Whites are a racial group of people typically characterized by light skin tones and European ancestry.
-
D.
Single White Female
Single White Female is a 1992 psychological thriller film about a woman whose new roommate becomes dangerously obsessed with her.
-
E.
White
White is a common English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ad6ef08190b334a97d6ab41487 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f698c5648190a5a29e08f2b7d8ab |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5fed2d57881908103ce89a365cdd4 |
completed | May 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f600bcaf288190b6204f985d3be638 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 8, 2026, 9:49 p.m.