Triple
T37056826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Objectum Sexuality |
E917212
|
entity |
| Predicate | hasDebatedStatusAs |
P145162
|
FINISHED |
| Object | mental disorder |
—
|
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: mental disorder | Statement: [Objectum Sexuality, hasDebatedStatusAs, mental disorder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDebatedStatusAs Context triple: [Objectum Sexuality, hasDebatedStatusAs, mental disorder]
-
A.
hasDebatedStatus
Indicates that an entity has participated in or been assigned a particular status related to a debate or debating activity.
-
B.
hasDebateStatus
Indicates that an entity (such as a topic, motion, or issue) is associated with a particular stage or condition within a debate process (e.g., proposed, ongoing, concluded).
-
C.
debatedStatus
chosen
Indicates that the status or classification of something is contested, disputed, or not universally agreed upon.
-
D.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
-
E.
hasDebatedPerson
Indicates that one person has engaged in a debate or formal argumentative discussion with another person.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
Created at: May 3, 2026, 4:14 p.m.