Triple
T35849957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rape of Tamar |
E1036320
|
entity |
| Predicate | occursInText |
P6841
|
FINISHED |
| Object | 2 Samuel 13 |
—
|
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: 2 Samuel 13 | Statement: [Rape of Tamar, occursInText, 2 Samuel 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursInText Context triple: [Rape of Tamar, occursInText, 2 Samuel 13]
-
A.
containsText
chosen
Indicates that one entity includes the specified text string within its content.
-
B.
followsInText
Indicates that one textual element appears immediately or subsequently after another within the same text.
-
C.
containsTextsFor
Indicates that one entity holds or includes text content intended for use by another entity.
-
D.
occursTo
Indicates that an event, idea, or realization happens in or comes to the mind or awareness of an entity.
-
E.
hasTextBy
Indicates that one entity (such as a document, work, or record) contains or is associated with text authored or written by another entity.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.