Triple
T38566457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas Tirith of Finrod |
E928231
|
entity |
| Predicate | associatedWithEnemy |
P206531
|
FINISHED |
| Object | Morgoth |
E261179
|
NE FINISHED |
How this triple was built (2 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: Morgoth | Statement: [Minas Tirith of Finrod, associatedWithEnemy, Morgoth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEnemy Context triple: [Minas Tirith of Finrod, associatedWithEnemy, Morgoth]
-
A.
associatedWithWeapon
Indicates that an entity has a connection or involvement with a weapon, such as ownership, use, presence, or relevance in a given context.
-
B.
hasFriendEnemyRelationshipWith
Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
-
C.
usesEnemyFigure
Indicates that one entity employs or incorporates an enemy character or figure in relation to another entity or context.
-
D.
associatedWithMissile
Indicates a relationship in which an entity is connected or linked to a missile, such as through ownership, use, design, deployment, or operational involvement.
-
E.
associatedWithWar
Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or context.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e018c8248190bf52ad01ca8dfadf |
completed | June 29, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.