Triple
T15853502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shem |
E384397
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Lud
Lud is a biblical figure traditionally regarded as one of the sons of Shem and an ancestral patriarch of certain ancient Near Eastern peoples.
|
E1179422
|
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: Lud | Statement: [Shem, hasChild, Lud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lud Context triple: [Shem, hasChild, Lud]
-
A.
Lud
Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
-
B.
Lud
Lud is the nickname of Ludlow Wray, likely used as a familiar or informal form of his given name.
-
C.
LUD
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
-
D.
Luds
Luds are a small Finno-Ugric ethnic group traditionally inhabiting parts of northwestern Russia, with their own Uralic language and distinct cultural traditions.
-
E.
Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
- 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: Lud Triple: [Shem, hasChild, Lud]
Generated description
Lud is a biblical figure traditionally regarded as one of the sons of Shem and an ancestral patriarch of certain ancient Near Eastern peoples.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lud Target entity description: Lud is a biblical figure traditionally regarded as one of the sons of Shem and an ancestral patriarch of certain ancient Near Eastern peoples.
-
A.
Lud
Lud is a decayed, trap-filled city in Stephen King’s The Dark Tower series, known for its warring factions, ancient technology, and pervasive atmosphere of ruin.
-
B.
Lud
Lud is the nickname of Ludlow Wray, likely used as a familiar or informal form of his given name.
-
C.
LUD
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
-
D.
Luds
Luds are a small Finno-Ugric ethnic group traditionally inhabiting parts of northwestern Russia, with their own Uralic language and distinct cultural traditions.
-
E.
Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cae96648190884a85f68b6e9fe1 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14977408190815ef02cc54075cc |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.