Triple
T15138114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorine |
E361609
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Honor
Honor is a given name of English origin that conveys the qualities of respect, integrity, and high moral character.
|
E1140827
|
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: Honor | Statement: [Honorine, relatedName, Honor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honor Context triple: [Honorine, relatedName, Honor]
-
A.
Honour
Honour is a British television drama series that explores the real-life investigation into the 2006 honour killing of Banaz Mahmod.
-
B.
Honor (historical)
Honor (historical) is a former smartphone and electronics brand that was created and owned by Huawei, targeting younger consumers with competitively priced devices before being sold off in 2020.
-
C.
Honor and Excellence
Honor and Excellence is the guiding motto of the University of the Philippines, emphasizing integrity and academic distinction as core values of the institution.
-
D.
honour
Honour is a moral principle centered on personal integrity, duty, and reputation, often driving individuals to uphold what is right even at great personal cost.
-
E.
Dignity
"Dignity" is a song by Bob Dylan, known for its reflective lyrics and history of multiple recorded versions and live performances.
- 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: Honor Triple: [Honorine, relatedName, Honor]
Generated description
Honor is a given name of English origin that conveys the qualities of respect, integrity, and high moral character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honor Target entity description: Honor is a given name of English origin that conveys the qualities of respect, integrity, and high moral character.
-
A.
Honour
Honour is a British television drama series that explores the real-life investigation into the 2006 honour killing of Banaz Mahmod.
-
B.
Honor (historical)
Honor (historical) is a former smartphone and electronics brand that was created and owned by Huawei, targeting younger consumers with competitively priced devices before being sold off in 2020.
-
C.
Honor and Excellence
Honor and Excellence is the guiding motto of the University of the Philippines, emphasizing integrity and academic distinction as core values of the institution.
-
D.
honour
Honour is a moral principle centered on personal integrity, duty, and reputation, often driving individuals to uphold what is right even at great personal cost.
-
E.
Dignity
"Dignity" is a song by Bob Dylan, known for its reflective lyrics and history of multiple recorded versions and live performances.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfea8e3081909551a8e3936c13a6 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec2f5b7bc8190a0038b34a958d692 |
completed | May 9, 2026, 5:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec38062a08190b141c311b42baaf5 |
completed | May 9, 2026, 5:17 a.m. |
Created at: April 10, 2026, 3:07 a.m.