Triple
T13710826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenne Headly |
E328765
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Headly
Headly is the surname of American actress Glenne Headly, known for her work in film, television, and theater.
|
E1056575
|
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: Headly | Statement: [Glenne Headly, familyName, Headly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Headly Context triple: [Glenne Headly, familyName, Headly]
-
A.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
-
B.
Bloom
Bloom is a large open-access multilingual language model developed by the BigScience research workshop for text generation and understanding tasks.
-
C.
The Head
The Head is an animated science fiction series that aired on MTV in the 1990s, known for its surreal story about a man whose enlarged head houses a benevolent alien.
-
D.
Etheline
Etheline is a fictional character from Wes Anderson's film "The Royal Tenenbaums," known as the intelligent and composed matriarch of the eccentric Tenenbaum family.
-
E.
Long Look
Long Look is a village on the island of Tortola in the British Virgin Islands, known as one of the territory’s oldest free Black communities.
- 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: Headly Triple: [Glenne Headly, familyName, Headly]
Generated description
Headly is the surname of American actress Glenne Headly, known for her work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Headly Target entity description: Headly is the surname of American actress Glenne Headly, known for her work in film, television, and theater.
-
A.
Bloom
Bloom is a common English and Jewish surname borne by numerous notable figures in literature, academia, and the arts.
-
B.
Bloom
Bloom is a large open-access multilingual language model developed by the BigScience research workshop for text generation and understanding tasks.
-
C.
The Head
The Head is an animated science fiction series that aired on MTV in the 1990s, known for its surreal story about a man whose enlarged head houses a benevolent alien.
-
D.
Etheline
Etheline is a fictional character from Wes Anderson's film "The Royal Tenenbaums," known as the intelligent and composed matriarch of the eccentric Tenenbaum family.
-
E.
Long Look
Long Look is a village on the island of Tortola in the British Virgin Islands, known as one of the territory’s oldest free Black communities.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d54a68081908df25edf6d5df362 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:54 p.m.