Triple
T35298576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moiraine Damodred |
E1019442
|
entity |
| Predicate | laterBondedTo |
P68132
|
FINISHED |
| Object | Thom Merrilin |
—
|
NE NERFINISHED |
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: Thom Merrilin | Statement: [Moiraine Damodred, laterBondedTo, Thom Merrilin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterBondedTo Context triple: [Moiraine Damodred, laterBondedTo, Thom Merrilin]
-
A.
bondedWith
chosen
Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
-
B.
pairBond
Indicates a long-term, typically exclusive social or reproductive partnership formed between two individuals.
-
C.
matedWith
Indicates that two entities have engaged in mating or reproductive pairing with each other.
-
D.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
-
E.
bondedWithSpecies
Indicates a relationship where an entity has formed a close, enduring bond or attachment with a particular species.
- F. None of above.
Provenance (3 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0062e6bd788190a7b4f3e5befb5cbb |
completed | May 10, 2026, 10:50 a.m. |
| PD | Predicate disambiguation | batch_6a0061989d188190b4815b2de3e8676f |
completed | May 10, 2026, 10:44 a.m. |
Created at: May 3, 2026, 4:03 p.m.