Triple
T4429995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Morshead |
E95301
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
The Daily Mail (Egypt)
The Daily Mail (Egypt) was an English-language newspaper published in Egypt during the early 20th century.
|
E102600
|
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: The Daily Mail (Egypt) | Statement: [Leslie Morshead, employer, The Daily Mail (Egypt)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Daily Mail (Egypt) Context triple: [Leslie Morshead, employer, The Daily Mail (Egypt)]
-
A.
Daily Mail
The Daily Mail is a British daily tabloid newspaper known for its conservative editorial stance, extensive coverage of celebrity and human-interest stories, and significant influence on UK public opinion.
-
B.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
-
C.
Wahdat newspaper
Wahdat newspaper is a notable Pashto-language print publication recognized as a significant outlet within Pashto media.
-
D.
Hewad newspaper
Hewad newspaper is a prominent Pashto-language print publication known for serving Pashto-speaking audiences with news and current affairs coverage.
-
E.
Daily Mirror
The Daily Mirror is a long-running British national tabloid newspaper known for its left-leaning editorial stance and mass-market readership.
- 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: The Daily Mail (Egypt) Triple: [Leslie Morshead, employer, The Daily Mail (Egypt)]
Generated description
The Daily Mail (Egypt) was an English-language newspaper published in Egypt during the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Daily Mail (Egypt) Target entity description: The Daily Mail (Egypt) was an English-language newspaper published in Egypt during the early 20th century.
-
A.
Daily Mail
chosen
The Daily Mail is a British daily tabloid newspaper known for its conservative editorial stance, extensive coverage of celebrity and human-interest stories, and significant influence on UK public opinion.
-
B.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
-
C.
Wahdat newspaper
Wahdat newspaper is a notable Pashto-language print publication recognized as a significant outlet within Pashto media.
-
D.
Hewad newspaper
Hewad newspaper is a prominent Pashto-language print publication known for serving Pashto-speaking audiences with news and current affairs coverage.
-
E.
Daily Mirror
The Daily Mirror is a long-running British national tabloid newspaper known for its left-leaning editorial stance and mass-market readership.
- F. None of above.
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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35569b3388190bdef2568f5dc04ce |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136caa248190a84423cede1908c3 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b617c13d4481909d22d201ce405d3a |
completed | March 15, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6187687f8819084e2d611e9e31f79 |
completed | March 15, 2026, 2:24 a.m. |
Created at: March 12, 2026, 11:30 p.m.