Triple
T14018208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerson |
E337254
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gloria Emerson
Gloria Emerson was an American journalist and author renowned for her searing coverage of the Vietnam War and its human consequences.
|
E1138381
|
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: Gloria Emerson | Statement: [Emerson, hasNotableBearer, Gloria Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Emerson Context triple: [Emerson, hasNotableBearer, Gloria Emerson]
-
A.
Gloria Swenson
Gloria Swenson is the tough, streetwise former mob moll who becomes an unlikely protector of a young boy in the crime thriller film "Gloria."
-
B.
Gloria Greer
Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
-
C.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
D.
Gloria Rand
Gloria Rand is a Canadian actress best known as the first wife of actor William Shatner.
-
E.
Gloria Loring
Gloria Loring is an American singer and actress best known for her work in television and music, including performing the theme song for the sitcom "The Facts of Life."
- 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: Gloria Emerson Triple: [Emerson, hasNotableBearer, Gloria Emerson]
Generated description
Gloria Emerson was an American journalist and author renowned for her searing coverage of the Vietnam War and its human consequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gloria Emerson Target entity description: Gloria Emerson was an American journalist and author renowned for her searing coverage of the Vietnam War and its human consequences.
-
A.
Gloria Swenson
Gloria Swenson is the tough, streetwise former mob moll who becomes an unlikely protector of a young boy in the crime thriller film "Gloria."
-
B.
Gloria Greer
Gloria Greer was an American actress best known for her work in early 20th-century films and for her marriage to film director Alan Crosland.
-
C.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
D.
Gloria Rand
Gloria Rand is a Canadian actress best known as the first wife of actor William Shatner.
-
E.
Gloria Loring
Gloria Loring is an American singer and actress best known for her work in television and music, including performing the theme song for the sitcom "The Facts of Life."
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cccd548190b9ec93f9d9d2f2af |
completed | May 9, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69feb971df248190bccc187517557373 |
completed | May 9, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9faeb2c819098e8dd4e0cf223bc |
completed | May 9, 2026, 4:37 a.m. |
Created at: April 9, 2026, 10:19 p.m.