Triple
T29815842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu al-Hussein al-Husseini al-Qurashi |
E757101
|
entity |
| Predicate | hasNomDeGuerre |
P39531
|
FINISHED |
| Object | Abu al-Hussein |
—
|
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: Abu al-Hussein | Statement: [Abu al-Hussein al-Husseini al-Qurashi, hasNomDeGuerre, Abu al-Hussein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNomDeGuerre Context triple: [Abu al-Hussein al-Husseini al-Qurashi, hasNomDeGuerre, Abu al-Hussein]
-
A.
nomDeGuerre
chosen
Indicates that an entity uses or is known by a pseudonymous or war-related alias instead of their real name.
-
B.
warName
Indicates the specific name or title assigned to a particular war or armed conflict.
-
C.
eraOfWarfare
Indicates a historical period characterized by significant or sustained warfare.
-
D.
preWarName
Indicates the name an entity had before a war or major conflict occurred.
-
E.
militaryCampaignOf
Indicates a relationship where a specific military campaign is conducted by, initiated by, or belongs to a particular military force, state, or commander.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: April 29, 2026, 5:26 p.m.