Triple
T9095921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wahshi ibn Harb |
E218019
|
entity |
| Predicate | roleAtBattleOfUhud |
P87138
|
FINISHED |
| Object | marksman with a spear |
—
|
LITERAL 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: marksman with a spear | Statement: [Wahshi ibn Harb, roleAtBattleOfUhud, marksman with a spear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfUhud Context triple: [Wahshi ibn Harb, roleAtBattleOfUhud, marksman with a spear]
-
A.
sideInBattleOfHunayn
Indicates that an entity participated as a side (party or faction) in the Battle of Hunayn.
-
B.
sideInBattleOfBadr
Indicates the role or allegiance an entity had on a particular side during the Battle of Badr.
-
C.
sideInBattleOfYarmouk
Indicates that an entity participated as a side (belligerent) in the Battle of Yarmouk.
-
D.
roleInArabRevolt
Indicates that an entity played a specific role or had a particular involvement in the Arab Revolt.
-
E.
relationToKhalidIbnAlWalid
Indicates a relationship or association that an entity has with Khalid ibn al-Walid.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b650648190a8f59cee402d12aa |
completed | April 1, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:14 p.m.