Triple
T5303725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Leo Marvin |
E120044
|
entity |
| Predicate | definingTraitInPlot |
P63936
|
FINISHED |
| Object | obsession with professional image |
—
|
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: obsession with professional image | Statement: [Dr. Leo Marvin, definingTraitInPlot, obsession with professional image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definingTraitInPlot Context triple: [Dr. Leo Marvin, definingTraitInPlot, obsession with professional image]
-
A.
belongsToSpeciesWithTrait
Indicates that an entity is a member of a species that possesses a specified trait.
-
B.
initialTrait
Indicates that a particular trait or characteristic is present in an entity at the beginning of a process, state, or time period.
-
C.
domesticationTrait
Indicates that an entity possesses a characteristic or feature that contributes to or results from its domestication by another species.
-
D.
GMTrait
Indicates a general, often stable characteristic or attribute that an entity possesses.
-
E.
containsSpeciesWithTrait
Indicates that a collection or group includes at least one species that exhibits a specified trait.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8e43c4c88190bb72b9bf56c99425 |
completed | March 20, 2026, 6:13 p.m. |
Created at: March 20, 2026, 1:53 p.m.