Triple
T15266273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Moran |
E364908
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moran |
E210431
|
NE 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: Moran | Statement: [Peggy Moran, familyName, Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moran Context triple: [Peggy Moran, familyName, Moran]
-
A.
Moran
chosen
Moran is a surname most prominently associated with American jazz pianist and composer Jason Moran.
-
B.
Moran
Moran is a town in the Indian state of Assam, known historically as a regional commercial and cultural center in the Upper Assam area.
-
C.
Moran Mor
Moran Mor is a Syriac Christian honorific prefix traditionally used for high-ranking bishops and patriarchs, particularly within the Syriac Orthodox and related Eastern churches.
-
D.
Bugs Moran
Bugs Moran was a notorious American gangster and bootlegger in Chicago during the Prohibition era, best known as a rival of Al Capone and a target of the St. Valentine’s Day Massacre.
-
E.
Dugan
Dugan is a surname and given name of Irish origin, commonly used in English-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee600340c8190a1888d35c2c1bc86 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.