Triple
T16036135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Ways to Forgiveness |
E388973
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object |
Forgiveness Day
Forgiveness Day is a science fiction novella by Ursula K. Le Guin set in her Hainish universe, exploring themes of culture clash, power, and reconciliation on an alien world.
|
E1190677
|
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: Forgiveness Day | Statement: [Four Ways to Forgiveness, containsWork, Forgiveness Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forgiveness Day Context triple: [Four Ways to Forgiveness, containsWork, Forgiveness Day]
-
A.
Forgiveness Sunday
Forgiveness Sunday is an Eastern Orthodox Christian observance marking the final day before Great Lent, focused on asking and granting forgiveness within the community.
-
B.
Forgiven
"Forgiven" is a track from 2 Chainz's introspective hip-hop album "Rap or Go to the League," reflecting themes of struggle, redemption, and personal growth.
-
C.
Forgiven
Forgiven is a song by the Dutch symphonic metal band Sylver.
-
D.
Forgiven
Forgiven is a song by the band Ghost of a Dog.
-
E.
Day of Forgiveness
Day of Forgiveness is a Jain religious observance dedicated to seeking and granting forgiveness, marked by introspection, repentance, and reconciliation.
- 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: Forgiveness Day Triple: [Four Ways to Forgiveness, containsWork, Forgiveness Day]
Generated description
Forgiveness Day is a science fiction novella by Ursula K. Le Guin set in her Hainish universe, exploring themes of culture clash, power, and reconciliation on an alien world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forgiveness Day Target entity description: Forgiveness Day is a science fiction novella by Ursula K. Le Guin set in her Hainish universe, exploring themes of culture clash, power, and reconciliation on an alien world.
-
A.
Forgiveness Sunday
Forgiveness Sunday is an Eastern Orthodox Christian observance marking the final day before Great Lent, focused on asking and granting forgiveness within the community.
-
B.
Forgiven
"Forgiven" is a track from 2 Chainz's introspective hip-hop album "Rap or Go to the League," reflecting themes of struggle, redemption, and personal growth.
-
C.
Forgiven
Forgiven is a song by the Dutch symphonic metal band Sylver.
-
D.
Forgiven
Forgiven is a song by the band Ghost of a Dog.
-
E.
Day of Forgiveness
Day of Forgiveness is a Jain religious observance dedicated to seeking and granting forgiveness, marked by introspection, repentance, and reconciliation.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833ca66881909475fac23e6fbf86 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd3a1248190ad055892cebde5f0 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc5fd30c8190aaf66482f24285b4 |
completed | May 10, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd0392e08190af42a0cdc5dd4c1f |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:56 a.m.