Triple
T28541388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His & Hers |
E722298
|
entity |
| Predicate | featuresPersonality |
P192151
|
FINISHED |
| Object | Michael Smith |
—
|
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: Michael Smith | Statement: [His & Hers, featuresPersonality, Michael Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPersonality Context triple: [His & Hers, featuresPersonality, Michael Smith]
-
A.
featuresPsychicCharacter
Indicates that the subject includes or involves a character who possesses psychic or telepathic abilities.
-
B.
usedPersonality
Indicates that one entity employed or applied another entity’s personality, traits, or persona in some context or interaction.
-
C.
personalityType
Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
-
D.
hasPersonalityDescribedAs
chosen
Indicates that an entity possesses a personality characterized or labeled in a particular way.
-
E.
agingCharacteristics
Indicates how the qualities, properties, or behavior of something change as it ages or over time.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
Created at: April 28, 2026, 3:35 a.m.