Triple
T305778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Aldridge |
E6295
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lily
Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
|
E52031
|
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: Lily | Statement: [Lily Aldridge, givenName, Lily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Context triple: [Lily Aldridge, givenName, Lily]
-
A.
Chloe
Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
-
B.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
C.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
D.
Linda
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
-
E.
Sara
Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
- 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: Lily Triple: [Lily Aldridge, givenName, Lily]
Generated description
Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lily Target entity description: Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
-
A.
Chloe
Chloe is the birth name of Nobel Prize–winning American novelist Toni Morrison, renowned for her powerful explorations of African American life and history.
-
B.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
C.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
D.
Linda
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
-
E.
Sara
Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea11c4908190a8723033bdf6f479 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4176f80488190bbee9a442a6a7076 |
completed | March 1, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69a418544e988190a5fd21eccf6fef9c |
completed | March 1, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4189fde70819081770acd3a6317b1 |
completed | March 1, 2026, 10:44 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.