Triple
T36413300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginny Weasley (possessed by Tom Riddle) |
E896938
|
entity |
| Predicate | collapsesIn |
P185741
|
FINISHED |
| Object | Chamber of Secrets |
—
|
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: Chamber of Secrets | Statement: [Ginny Weasley (possessed by Tom Riddle), collapsesIn, Chamber of Secrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collapsesIn Context triple: [Ginny Weasley (possessed by Tom Riddle), collapsesIn, Chamber of Secrets]
-
A.
collapsesWhen
Indicates that one entity falls down, crumples, or structurally gives way whenever a specified condition involving another entity occurs.
-
B.
collapsedWith
Indicates that one entity fell down or caved in together with another entity, typically as part of the same collapse event.
-
C.
collapsedTo
Indicates that one entity has fallen down or caved in and become compressed or reduced into another state, form, or configuration.
-
D.
spanCollapsed
Indicates that a span or range has been reduced or merged into a more compact form, hiding or omitting its internal details.
-
E.
collapsedDuring
Indicates that one entity structurally failed or fell down while another specified event or process was occurring.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.