Triple
T24033624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the Parliament of Lebanon |
E595168
|
entity |
| Predicate | officeHolderSince1992 |
P10467
|
FINISHED |
| Object | Nabih Berri |
—
|
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: Nabih Berri | Statement: [Speaker of the Parliament of Lebanon, officeHolderSince1992, Nabih Berri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderSince1992 Context triple: [Speaker of the Parliament of Lebanon, officeHolderSince1992, Nabih Berri]
-
A.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
B.
governingSince
Indicates that one entity has held a governing or ruling role over another entity starting from a specified point in time.
-
C.
winningPartyLeaderSince
Indicates that the subject has been serving as the leader of the party that won a particular election since the specified point in time.
-
D.
currentSpeakerAssumedOffice
chosen
Indicates that the person who is currently serving as speaker has taken up or begun holding a particular office or position.
-
E.
presidencyHeldBy
Indicates that a specific presidency or presidential office is occupied or held by a particular 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d0ec8081908f98e78944bff040 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:56 p.m.