Triple
T14132882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegon Targaryen (Young Griff) |
E350211
|
entity |
| Predicate | travelsWith |
P881
|
FINISHED |
| Object |
Lemore
Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
|
E1082634
|
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: Lemore | Statement: [Aegon Targaryen (Young Griff), travelsWith, Lemore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lemore Context triple: [Aegon Targaryen (Young Griff), travelsWith, Lemore]
-
A.
Houlle
Houlle is a small commune in northern France’s Pas-de-Calais department, known for its rural character and traditional French countryside setting.
-
B.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
C.
Looma
Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
-
D.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
E.
Terray
Terray is a surname most notably associated with Lionel Terray, a renowned French mountaineer and alpine guide.
- 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: Lemore Triple: [Aegon Targaryen (Young Griff), travelsWith, Lemore]
Generated description
Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lemore Target entity description: Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
-
A.
Houlle
Houlle is a small commune in northern France’s Pas-de-Calais department, known for its rural character and traditional French countryside setting.
-
B.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
C.
Looma
Looma is an alternative name for Loma, which may refer to various places, peoples, or entities sharing that designation.
-
D.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
E.
Terray
Terray is a surname most notably associated with Lionel Terray, a renowned French mountaineer and alpine guide.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0dec2488190be9c24d3744e7243 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce206b0588190a0f4b24231d3c365 |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 11:28 p.m.