Triple
T20328584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamdeen Sabahi |
E492406
|
entity |
| Predicate | studentActivism |
P110293
|
FINISHED |
| Object | opposition to Anwar Sadat |
—
|
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: opposition to Anwar Sadat | Statement: [Hamdeen Sabahi, studentActivism, opposition to Anwar Sadat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentActivism Context triple: [Hamdeen Sabahi, studentActivism, opposition to Anwar Sadat]
-
A.
areaOfActivism
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
B.
placeOfActivism
Indicates the location or geographic area where an individual or group engages in activism or advocacy activities.
-
C.
advocacyMovement
chosen
Indicates that an entity actively supports, promotes, or works to advance a particular social, political, or ideological movement.
-
D.
mannerOfActivism
Indicates the specific way or method by which an entity engages in activism.
-
E.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e637e48190b5582e97fe1000c0 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:22 a.m.