Triple
T19328903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammam Salam |
E483433
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Tammam
Tammam is an Arabic masculine given name, notably borne by Lebanese politician Tammam Salam.
|
E1371166
|
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: Tammam | Statement: [Tammam Salam, givenName, Tammam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tammam Context triple: [Tammam Salam, givenName, Tammam]
-
A.
Al Hada
Al Hada is a mountainous resort town in western Saudi Arabia, known for its scenic winding roads, cool climate, and panoramic views over the surrounding valleys.
-
B.
Al Ghanama
Al Ghanama is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
-
C.
Al Mashun
Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
-
D.
Omeed
Omeed is a transliterated given name of Persian origin, commonly associated with the name Omid, which means "hope."
-
E.
Al Mershid
Al Mershid is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
- 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: Tammam Triple: [Tammam Salam, givenName, Tammam]
Generated description
Tammam is an Arabic masculine given name, notably borne by Lebanese politician Tammam Salam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tammam Target entity description: Tammam is an Arabic masculine given name, notably borne by Lebanese politician Tammam Salam.
-
A.
Al Hada
Al Hada is a mountainous resort town in western Saudi Arabia, known for its scenic winding roads, cool climate, and panoramic views over the surrounding valleys.
-
B.
Al Ghanama
Al Ghanama is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
-
C.
Al Mashun
Al Mashun is the namesake of the Great Mosque of Medan, a prominent historic Islamic landmark in Medan, Indonesia.
-
D.
Omeed
Omeed is a transliterated given name of Persian origin, commonly associated with the name Omid, which means "hope."
-
E.
Al Mershid
Al Mershid is a subtribe within the larger Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6163ffddc81909e9cb13e780f1f18 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bdeadc08190b44953632fea403e |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071c8a9dec8190a4fbb88736b73912 |
completed | May 15, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071e0e00208190a6e05266d5bc47e2 |
completed | May 15, 2026, 1:22 p.m. |
Created at: April 10, 2026, 1:33 p.m.