Triple
T14704420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émile Lahoud |
E345387
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lahoud
Lahoud is a Lebanese surname most prominently associated with Émile Lahoud, a former President of Lebanon.
|
E1116081
|
NE FINISHED |
How this triple was built (4 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: Lahoud | Statement: [Émile Lahoud, familyName, Lahoud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahoud Context triple: [Émile Lahoud, familyName, Lahoud]
-
A.
Paul Krekorian
Paul Krekorian is an American politician and attorney serving as a member of the Los Angeles City Council and a prominent local Democratic leader.
-
B.
Salim Boustany
Salim Boustany was a prominent 19th-century Lebanese journalist, writer, and politician known for his contributions to Arabic literature and public life.
-
C.
Ron Shaich
Ron Shaich is an American entrepreneur best known as the founder and longtime leader of the fast-casual restaurant chain Panera Bread.
-
D.
Nada Boustany
Nada Boustany is a notable individual recognized for achievements significant enough to be associated with the surname Boustany.
-
E.
Mike Minett
Mike Minett is an actor best known for his role in Peter Jackson’s cult splatter-comedy film "Bad Taste."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lahoud Triple: [Émile Lahoud, familyName, Lahoud]
Generated description
Lahoud is a Lebanese surname most prominently associated with Émile Lahoud, a former President of Lebanon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lahoud Target entity description: Lahoud is a Lebanese surname most prominently associated with Émile Lahoud, a former President of Lebanon.
-
A.
Paul Krekorian
Paul Krekorian is an American politician and attorney serving as a member of the Los Angeles City Council and a prominent local Democratic leader.
-
B.
Salim Boustany
Salim Boustany was a prominent 19th-century Lebanese journalist, writer, and politician known for his contributions to Arabic literature and public life.
-
C.
Ron Shaich
Ron Shaich is an American entrepreneur best known as the founder and longtime leader of the fast-casual restaurant chain Panera Bread.
-
D.
Nada Boustany
Nada Boustany is a notable individual recognized for achievements significant enough to be associated with the surname Boustany.
-
E.
Mike Minett
Mike Minett is an actor best known for his role in Peter Jackson’s cult splatter-comedy film "Bad Taste."
- F. None of above. chosen
Provenance (5 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf087ce8c819081a7186df67bcf1f |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf2a63cc88190b3670378c54c96b6 |
completed | May 8, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf31fcb4081908a88cf4d4c5ddced |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:28 a.m.