Triple
T34886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas |
E693
|
entity |
| Predicate | children |
P980
|
FINISHED |
| Object |
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
|
E4629
|
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: Merope | Statement: [Atlas, children, Merope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merope Context triple: [Atlas, children, Merope]
-
A.
Dædalus
Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
-
B.
Herbert
Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
-
C.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
D.
Eleni Kounalakis
Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
-
E.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
- 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: Merope Triple: [Atlas, children, Merope]
Generated description
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merope Target entity description: Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
A.
Dædalus
Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
-
B.
Herbert
Herbert is a masculine given name of Germanic origin that has been borne by various notable figures, including U.S. President Herbert Hoover.
-
C.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
D.
Eleni Kounalakis
Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
-
E.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24886d3208190bec30070a361666d |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255322d048190b3a45c6c6a80230c |
completed | Feb. 28, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69a255ee9c1c8190a9d1db89af34fbaf |
completed | Feb. 28, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a256a191bc8190a0cb3151ece43e13 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.