Triple
T10285309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Hyer |
E241211
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hyer
Hyer is a surname most notably associated with American actress Martha Hyer, who was prominent in mid-20th-century cinema.
|
E852664
|
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: Hyer | Statement: [Martha Hyer, familyName, Hyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyer Context triple: [Martha Hyer, familyName, Hyer]
-
A.
Gighay
Gighay is a small, uninhabited island in the Outer Hebrides of Scotland, known for its rugged terrain and scenic coastal landscapes.
-
B.
Howeitat
The Howeitat are a prominent Bedouin Arab tribe traditionally inhabiting regions of southern Jordan, northwestern Saudi Arabia, and the Sinai Peninsula, historically noted for their role in the Arab Revolt.
-
C.
Holtye
Holtye is a small settlement in East Sussex, England, situated near the county border with Kent.
-
D.
Hyele
Hyele is the ancient name of the coastal town of Velia in southern Italy, historically associated with the Greek colony of Elea in Magna Graecia.
-
E.
Hille
Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
- 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: Hyer Triple: [Martha Hyer, familyName, Hyer]
Generated description
Hyer is a surname most notably associated with American actress Martha Hyer, who was prominent in mid-20th-century cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hyer Target entity description: Hyer is a surname most notably associated with American actress Martha Hyer, who was prominent in mid-20th-century cinema.
-
A.
Gighay
Gighay is a small, uninhabited island in the Outer Hebrides of Scotland, known for its rugged terrain and scenic coastal landscapes.
-
B.
Howeitat
The Howeitat are a prominent Bedouin Arab tribe traditionally inhabiting regions of southern Jordan, northwestern Saudi Arabia, and the Sinai Peninsula, historically noted for their role in the Arab Revolt.
-
C.
Holtye
Holtye is a small settlement in East Sussex, England, situated near the county border with Kent.
-
D.
Hyele
Hyele is the ancient name of the coastal town of Velia in southern Italy, historically associated with the Greek colony of Elea in Magna Graecia.
-
E.
Hille
Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b737788190bfadd0d48ad38f5b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8444c48819095100c6d1d45ccc7 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcae243c819095a2e791716805bd |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd3495fc8190a093d2536cfbe58a |
completed | April 9, 2026, 1:13 a.m. |
Created at: April 6, 2026, 11:40 a.m.