Triple
T27963532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollos |
E704651
|
entity |
| Predicate | sentOnMissionWith |
P163575
|
FINISHED |
| Object |
Zenas the lawyer
Zenas the lawyer is a little-known early Christian associate mentioned in the New Testament who traveled with Apollos on a missionary journey.
|
E1798242
|
NE FINISHED |
How this triple was built (3 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: Zenas the lawyer | Statement: [Apollos, sentOnMissionWith, Zenas the lawyer]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zenas the lawyer Triple: [Apollos, sentOnMissionWith, Zenas the lawyer]
Generated description
Zenas the lawyer is a little-known early Christian associate mentioned in the New Testament who traveled with Apollos on a missionary journey.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentOnMissionWith Context triple: [Apollos, sentOnMissionWith, Zenas the lawyer]
-
A.
sentOnMissionBy
Indicates that one entity was assigned or dispatched on a mission by another entity.
-
B.
sentMissionTo
Indicates that one entity dispatched or assigned another entity to carry out a specific mission at a particular destination or context.
-
C.
sentAs
Indicates that one entity was transmitted, dispatched, or delivered in the form, role, or capacity of another (e.g., an item or message being sent as something specific).
-
D.
sentAfter
Indicates that one message or item was sent at a later time than another specified message or item.
-
E.
sentWhen
Indicates the time or temporal context at which a message, item, or communication was sent.
- F. None of above. chosen
Provenance (7 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b058f6c8190af423aae815a0599 |
completed | May 2, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13116f3c508190b2f0f8129aaaba79 |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a13156ae9d8819091b4bafa5399f85f |
completed | May 24, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1315f4b09c8190868c5e16ab852c96 |
completed | May 24, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 7:33 p.m.