Triple
T34957588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lineage |
E1008160
|
entity |
| Predicate | portraysFutureChildOf |
P199202
|
FINISHED |
| Object | B'Elanna Torres and Tom Paris |
—
|
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: B'Elanna Torres and Tom Paris | Statement: [Lineage, portraysFutureChildOf, B'Elanna Torres and Tom Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFutureChildOf Context triple: [Lineage, portraysFutureChildOf, B'Elanna Torres and Tom Paris]
-
A.
depictsChild
Indicates that one entity visually represents or portrays another entity in the role or state of being a child.
-
B.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
C.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
D.
portraysPregnancyOf
Indicates that one entity visually or narratively represents the state of pregnancy of another entity.
-
E.
willBeBornAs
Indicates that an entity is predicted or destined to come into existence in the future as a particular individual or form.
- 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_69ff255b84788190a94682f4efe1d0b8 |
completed | May 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69ff24f3ab108190bb017a656cff3d82 |
completed | May 9, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69ff255abca881908ef7635bd2e5af98 |
completed | May 9, 2026, 12:15 p.m. |
Created at: May 3, 2026, 4 p.m.