Triple
T3763343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashim Thaçi |
E82613
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hashim |
E126098
|
NE 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: Hashim | Statement: [Hashim Thaçi, givenName, Hashim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hashim Context triple: [Hashim Thaçi, givenName, Hashim]
-
A.
Hashim
chosen
Hashim is the given name of Prince Hashim bin Hussein, a member of the Jordanian royal family.
-
B.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
C.
Rashid
Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
-
D.
Al-Faruq
Al-Faruq is the honorific title of Umar ibn al-Khattab, the second caliph of Islam renowned for his justice, strength of character, and pivotal role in the early expansion and governance of the Muslim community.
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfbecf8819099d80af480cbe2d2 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e51e54108190ab60e189cfbb0db0 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.