Triple
T34378811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ibn Ahmad |
E882368
|
entity |
| Predicate | followsGivenName |
P9013
|
FINISHED |
| Object | Al-Khalil |
—
|
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: Al-Khalil | Statement: [ibn Ahmad, followsGivenName, Al-Khalil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsGivenName Context triple: [ibn Ahmad, followsGivenName, Al-Khalil]
-
A.
followsInName
Indicates that one entity’s name is derived from, modeled after, or intentionally patterned to follow the naming of another entity.
-
B.
followsNameOf
chosen
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
C.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
D.
givenNameIn
Indicates that an entity has a specific first or given name in a particular language or naming context.
-
E.
fullGivenNameOf
Indicates that one entity is the complete, formal given name corresponding to another entity (such as a person or identifier).
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:59 a.m.