Triple
T18691392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedda Hopper |
E457009
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Furry
Furry is the maiden surname of American gossip columnist and actress Hedda Hopper.
|
E1337860
|
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: Furry | Statement: [Hedda Hopper, familyName, Furry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furry Context triple: [Hedda Hopper, familyName, Furry]
-
A.
Fur people
The Fur people are an indigenous African ethnic group primarily inhabiting the Darfur region of western Sudan and adjacent border areas, known for their distinct language, farming traditions, and historical sultanate.
-
B.
Lledoner Pelut
Lledoner Pelut is a red wine grape variety from southern France, closely related to Grenache and valued for producing deeply colored, robust wines with good structure.
-
C.
Loose Fur
Loose Fur is an American experimental rock supergroup formed in the early 2000s, best known for its improvisational, avant-garde sound and its connections to members of Wilco and the Chicago indie scene.
-
D.
Fur
Fur is a Nilo-Saharan language spoken primarily by the Fur people of western Sudan’s Darfur region.
-
E.
Fur
Fur is a small Danish island in the Limfjord, renowned for its dramatic cliffs, fossil-rich moler clay deposits, and scenic coastal landscapes.
- 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: Furry Triple: [Hedda Hopper, familyName, Furry]
Generated description
Furry is the maiden surname of American gossip columnist and actress Hedda Hopper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Furry Target entity description: Furry is the maiden surname of American gossip columnist and actress Hedda Hopper.
-
A.
Fur people
The Fur people are an indigenous African ethnic group primarily inhabiting the Darfur region of western Sudan and adjacent border areas, known for their distinct language, farming traditions, and historical sultanate.
-
B.
Lledoner Pelut
Lledoner Pelut is a red wine grape variety from southern France, closely related to Grenache and valued for producing deeply colored, robust wines with good structure.
-
C.
Loose Fur
Loose Fur is an American experimental rock supergroup formed in the early 2000s, best known for its improvisational, avant-garde sound and its connections to members of Wilco and the Chicago indie scene.
-
D.
Fur
Fur is a Nilo-Saharan language spoken primarily by the Fur people of western Sudan’s Darfur region.
-
E.
Fur
Fur is a small Danish island in the Limfjord, renowned for its dramatic cliffs, fossil-rich moler clay deposits, and scenic coastal landscapes.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e3a6d08190b2409bcbf0c42444 |
completed | April 19, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05235e5f088190b06ead816f290629 |
completed | May 14, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a0527868034819088b42563642cdaff |
completed | May 14, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0527fe2fd8819094ddc99263b7e8da |
completed | May 14, 2026, 1:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.