Triple
T1650053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayman al-Zawahiri |
E35669
|
entity |
| Predicate | bounty |
P30868
|
FINISHED |
| Object | 25 million USD reward (U.S. government) |
—
|
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: 25 million USD reward (U.S. government) | Statement: [Ayman al-Zawahiri, bounty, 25 million USD reward (U.S. government)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bounty Context triple: [Ayman al-Zawahiri, bounty, 25 million USD reward (U.S. government)]
-
A.
badge
Indicates that one entity confers, displays, or is associated with a symbolic mark or emblem representing status, achievement, role, or affiliation in relation to another entity.
-
B.
bearer
Indicates that one entity carries, holds, or possesses another entity, often as the current holder of a right, document, or object.
-
C.
betrayalReward
Indicates that an entity receives a benefit or compensation as a direct result of betraying another party or prior allegiance.
-
D.
offeredRewardTo
Indicates that one entity has proposed or promised a reward to another entity, typically as an incentive for a specific action or outcome.
-
E.
beyond
Indicates that one entity is located or extends farther than, or outside the limits or scope of, another reference point or boundary.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a949509d508190a3a35554996823de |
completed | March 5, 2026, 9:13 a.m. |
Created at: March 4, 2026, 7:29 p.m.