Triple
T34958010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Wildman |
E1008170
|
entity |
| Predicate | relationshipToNeelix |
P206764
|
FINISHED |
| Object | goddaughter-like bond |
—
|
LITERAL 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: goddaughter-like bond | Statement: [Naomi Wildman, relationshipToNeelix, goddaughter-like bond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToNeelix Context triple: [Naomi Wildman, relationshipToNeelix, goddaughter-like bond]
-
A.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
-
B.
relationshipToJabba
Indicates the specific personal or social connection an entity has to Jabba, such as familial, hierarchical, or associative ties.
-
C.
relationshipToElijahBaley
Indicates the nature or type of relationship an entity has with Elijah Baley.
-
D.
relationshipToFelix
Indicates the specific type of relationship or connection that an entity has with Felix.
-
E.
relationshipToMarkWatney
Indicates the specific type of personal or social relationship an entity has with Mark Watney.
- F. None of above. chosen
Provenance (4 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.