Triple
T37153067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Habib Marwan |
E920414
|
entity |
| Predicate | yearOfMajorStoryline |
P197037
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Habib Marwan, yearOfMajorStoryline, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorStoryline Context triple: [Habib Marwan, yearOfMajorStoryline, 2005]
-
A.
yearOfMajorConsolidation
Indicates the specific year in which a major consolidation event (such as a merger, acquisition, or unification) occurred for the entity.
-
B.
yearOfMajorFlight
Indicates the specific year in which a major or significant flight event associated with an entity took place.
-
C.
yearInLore
Indicates the specific in-universe year, according to a fictional or narrative timeline, in which an event or state occurs.
-
D.
firstMajorEventYear
Indicates the calendar year in which the entity’s first major event occurred.
-
E.
yearOfPassage
Indicates the specific calendar year in which a law, bill, or formal measure was officially passed or enacted.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
| PDg | Predicate description generation | batch_69fe744e9ee081909b362fc8609bc744 |
completed | May 8, 2026, 11:39 p.m. |
Created at: May 3, 2026, 4:15 p.m.