Triple
T17172091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip the Evangelist |
E416758
|
entity |
| Predicate | selectedWith |
P126367
|
FINISHED |
| Object |
Nicanor
Nicanor was one of the seven early Christian deacons chosen by the apostles in Jerusalem to assist with the distribution of aid and service to the community.
|
E1255854
|
NE FINISHED |
How this triple was built (4 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: Nicanor | Statement: [Philip the Evangelist, selectedWith, Nicanor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicanor Context triple: [Philip the Evangelist, selectedWith, Nicanor]
-
A.
Nicanor
Nicanor was a Seleucid military commander known for leading royal forces against the Jewish rebels during the Maccabean Revolt in the 2nd century BCE.
-
B.
Nicanor
Nicanor is an ancient Greek scholar known for his critical and exegetical work on Homeric poetry, particularly the Iliad.
-
C.
Nicanor
Nicanor was a military figure known for his role in the Siege of Miletus during the Greco-Persian conflicts.
-
D.
Alpidio
Alpidio is a masculine given name of Latin origin, used primarily in Spanish-speaking countries.
-
E.
Dionisio
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Nicanor Triple: [Philip the Evangelist, selectedWith, Nicanor]
Generated description
Nicanor was one of the seven early Christian deacons chosen by the apostles in Jerusalem to assist with the distribution of aid and service to the community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicanor Target entity description: Nicanor was one of the seven early Christian deacons chosen by the apostles in Jerusalem to assist with the distribution of aid and service to the community.
-
A.
Nicanor
Nicanor was a Seleucid military commander known for leading royal forces against the Jewish rebels during the Maccabean Revolt in the 2nd century BCE.
-
B.
Nicanor
Nicanor is an ancient Greek scholar known for his critical and exegetical work on Homeric poetry, particularly the Iliad.
-
C.
Nicanor
Nicanor was a military figure known for his role in the Siege of Miletus during the Greco-Persian conflicts.
-
D.
Alpidio
Alpidio is a masculine given name of Latin origin, used primarily in Spanish-speaking countries.
-
E.
Dionisio
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
- F. None of above. chosen
Provenance (5 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ac22481909e992bb3a6ba36ad |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc83984819098c98b75cf021e3a |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a0160beb4188190b6e9a91f50b6e276 |
completed | May 11, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016158b1d081909b62cf73e14b3e78 |
completed | May 11, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:37 a.m.