Triple
T11007531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmour |
E260158
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object |
Pamer
Pamer is an alternative spelling of the surname Palmour, associated with the same family name or lineage.
|
E897988
|
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: Pamer | Statement: [Palmour, hasAlternativeSpelling, Pamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamer Context triple: [Palmour, hasAlternativeSpelling, Pamer]
-
A.
Pam Pam
"Pam Pam" is a popular reggaeton track by Puerto Rican duo Wisin & Yandel, known for its catchy rhythm and club-oriented sound.
-
B.
Pengam
Pengam is a small village and community in Caerphilly County Borough, Wales, historically part of the South Wales coalfield.
-
C.
Pomarkku
Pomarkku is a small rural municipality in western Finland known for its forests, lakes, and traditional village landscapes.
-
D.
Pantjeny
Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
-
E.
Pomy
Pomy is a small municipality in the canton of Vaud in western Switzerland.
- 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: Pamer Triple: [Palmour, hasAlternativeSpelling, Pamer]
Generated description
Pamer is an alternative spelling of the surname Palmour, associated with the same family name or lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pamer Target entity description: Pamer is an alternative spelling of the surname Palmour, associated with the same family name or lineage.
-
A.
Pam Pam
"Pam Pam" is a popular reggaeton track by Puerto Rican duo Wisin & Yandel, known for its catchy rhythm and club-oriented sound.
-
B.
Pengam
Pengam is a small village and community in Caerphilly County Borough, Wales, historically part of the South Wales coalfield.
-
C.
Pomarkku
Pomarkku is a small rural municipality in western Finland known for its forests, lakes, and traditional village landscapes.
-
D.
Pantjeny
Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
-
E.
Pomy
Pomy is a small municipality in the canton of Vaud in western Switzerland.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79757bdcc8190900b267826eece21 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e34550be2081908d9f742b67b8fdeb |
completed | April 18, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69e3557164848190b4406537922078c2 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359563fec8190b432b35b8502c3f4 |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:25 p.m.