Triple
T24033843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemayel family |
E595173
|
entity |
| Predicate | politicalPositionHeldByMembers |
P154593
|
FINISHED |
| Object | President of Lebanon |
—
|
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: President of Lebanon | Statement: [Gemayel family, politicalPositionHeldByMembers, President of Lebanon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPositionHeldByMembers Context triple: [Gemayel family, politicalPositionHeldByMembers, President of Lebanon]
-
A.
nationalCouncilMembership
Indicates that an entity holds membership in, or is formally part of, a national council.
-
B.
positionHeldInTheLegislativeBody
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
-
C.
positionHeldInLegislature
Indicates that an entity holds or has held a specific official role or seat within a legislative body.
-
D.
hasPoliticalPositionOn
Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
-
E.
memberHeldOfficeFrom
Indicates that a member began holding a particular office or position starting from a specified date or time.
- 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_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. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:56 p.m.